Pablo de Pedraza: Labor market matching, economic cycle and online vacanciesTextkernel
Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016.
The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising.
This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession.
In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle.
Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors.
SC6 Workshop 1: Official Statistics in the Age of Big DataBigData_Europe
Presentation by Michail Skaliotis, Head of the Eurostat Big Data Task Force, EC, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
International Journal on Foundations of Computer Science & Technology (IJFCST)ijfcstjournal
International Journal on Foundations of Computer Science & Technology (IJFCST) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Foundations of Computer Science & Technology. Over the last decade, there has been an explosion in the field of computer science to solve various problems from mathematics to engineering. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
The Postcode Finder is a tool developed to encourage the addition of UK address data and postcodes into the OSM database. By providing a useful search and navigation facility, address data is usable by the consumer. The talk will focus on details of the data processing needed to put things into a useful format as well as challenges faced when presenting the information in a useful way. How to use the tool itself will also be covered as well as thoughts on future direction with adding new features to complement the existing tools.
http://milliams.dev.openstreetmap.org/postcodefinder/
This is my talk from State of the Map 2013 on Friday the 6th of September at 16:50.
Pablo de Pedraza: Labor market matching, economic cycle and online vacanciesTextkernel
Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016.
The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising.
This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession.
In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle.
Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors.
SC6 Workshop 1: Official Statistics in the Age of Big DataBigData_Europe
Presentation by Michail Skaliotis, Head of the Eurostat Big Data Task Force, EC, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
International Journal on Foundations of Computer Science & Technology (IJFCST)ijfcstjournal
International Journal on Foundations of Computer Science & Technology (IJFCST) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Foundations of Computer Science & Technology. Over the last decade, there has been an explosion in the field of computer science to solve various problems from mathematics to engineering. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
The Postcode Finder is a tool developed to encourage the addition of UK address data and postcodes into the OSM database. By providing a useful search and navigation facility, address data is usable by the consumer. The talk will focus on details of the data processing needed to put things into a useful format as well as challenges faced when presenting the information in a useful way. How to use the tool itself will also be covered as well as thoughts on future direction with adding new features to complement the existing tools.
http://milliams.dev.openstreetmap.org/postcodefinder/
This is my talk from State of the Map 2013 on Friday the 6th of September at 16:50.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit,
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas
Forecast to contribute £216 billion to the UK economy via business creation, efficiency and innovation, and generate 360,000 new jobs by 2020, big data is a key area for recruiters.
In this QuickView:
- Big data in numbers
- Top 10 industries hiring big data professionals
- Top 10 qualifications sought by hirers
- Top 10 database and BI skills sought by hirers
- Getting started in big data: popular big data techniques and vendors
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit,
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Digital econ policy data presentation for readie 18mar2016Juan Mateos-Garcia
New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Data volumes have experienced explosive growth in recent years, and that data is being generated from sources that are increasingly complex and varied. Harnessing and refining value from this data requires a new approach as data extraction, transformation, and loading (ETL) becoming increasingly more costly and difficult to scale.
Organizations are looking to leverage Hadoop as an enterprise data hub—also called a “data lake” or “data reservoir”—as a key component of their data architecture to augment their data warehouse, ETL and analytical systems in order to maximize their existing investments, reduce costs, and unlock new business value from their data.
In this webinar, you will learn:
Real-world examples that illustrate why Hadoop is the best low-cost data hub, data lake, or data landing zone (staging area) option for ETL processing
Proof points that demonstrate advantages of Hadoop and its ability to scale to manage increasing data volumes and support exploratory big data analytics
Proven best practices for a cost-effective, reliable way to implement a data management platform for your entire big data analytical ecosystem
Hidden issues to be aware of in deploying your data hub/data lake
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit,
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas
Forecast to contribute £216 billion to the UK economy via business creation, efficiency and innovation, and generate 360,000 new jobs by 2020, big data is a key area for recruiters.
In this QuickView:
- Big data in numbers
- Top 10 industries hiring big data professionals
- Top 10 qualifications sought by hirers
- Top 10 database and BI skills sought by hirers
- Getting started in big data: popular big data techniques and vendors
International Journal of Information Technology (IJIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit,
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Digital econ policy data presentation for readie 18mar2016Juan Mateos-Garcia
New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges.
International Journal of Managing Information Technology (IJMIT)ijfcst journal
International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of Information Technology in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. International Journal of Information Technology and Management seeks to establish new collaborations, new best practices, and new theories in these areas Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of information technology and management.
Data volumes have experienced explosive growth in recent years, and that data is being generated from sources that are increasingly complex and varied. Harnessing and refining value from this data requires a new approach as data extraction, transformation, and loading (ETL) becoming increasingly more costly and difficult to scale.
Organizations are looking to leverage Hadoop as an enterprise data hub—also called a “data lake” or “data reservoir”—as a key component of their data architecture to augment their data warehouse, ETL and analytical systems in order to maximize their existing investments, reduce costs, and unlock new business value from their data.
In this webinar, you will learn:
Real-world examples that illustrate why Hadoop is the best low-cost data hub, data lake, or data landing zone (staging area) option for ETL processing
Proof points that demonstrate advantages of Hadoop and its ability to scale to manage increasing data volumes and support exploratory big data analytics
Proven best practices for a cost-effective, reliable way to implement a data management platform for your entire big data analytical ecosystem
Hidden issues to be aware of in deploying your data hub/data lake
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This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
3. Centrum Rafinacji Informacji
Spółka z o.o.
We offer analysis - REFINING, large information resources - BIG Data for
a given purpose (e.g. prediction of results of general elections,
monitoring of technological trends, information about Poland in the
world, assessment of the company, product).
Our Advantages:
• 8 years of experience,
• Large number of experts: IT, identification and collection of source
materials, analysis of large resources
4. Information sources - the world
Identification, Collection, Monitoring and
Analysis System - SIGMA
• Business
• Science
• State & Governance
• Patents
• Tenders
• Stock Market
• Web 2.0
e.g. the most common research areas related to
technologies and innovations:
1. Engineering (plus: “electrical engineering”; “electronic engineering”;
engineering AND technology)
2. Computer science
3. Business (plus: management; business AND management;
business AND accounting; management AND accounting; business AND
economics)
4. Chemistry (plus: multidisciplinary AND chemistry, physical AND
chemistry)
5. Materials science (plus: “materials science” AND
multidyscyplinary)
5. Refining
• Information osmosis. Machine learning (shallow and deep).
• Identification of sources related to the subject of research.
• Selection and collection of publications containing materials related
to the highlighted / detailed subject matter, subject of research.
• Analysis
• Quantitative (TF-IDF statistics)
• Bigram
• Clusters (LDA method)
• Prediction
8. Machine learning
The bigram graph is intended to present the results of the analysis of sentiment pairs. The thickness of the arrow is proportional
to the frequency of the given conjunction of sentiments. The direction of the arrow indicates the sequences of words that the
word in the pair first occurred and which followed. Connection chains are joined pairs of words. They show the occurrence of
sentiment sequences.
The length of the arrow has no substantive interpretation. It aims to clearly present data so that individual elements do not
overlap. The distance of nodes is not used to draw conclusions about the connection of sentiments.
Example 3
9. Electromobility and shipbuilding
(01.2017-10.2018)
normalized abundance with a linear and exponential function with the best least-squares
fitment. The linear function is marked with a blue continuous line. The exponential function
is drawn with a red dotted line.
Example 4
Industry 4.0 (01.2017-10.2018)
10. Refining vs official
results of parliamentary
and presidential
elections 2015
Example 5
1879
1522 1540 1546
1757
560
1863
1534
1682
1574 1650
522
0
500
1000
1500
2000
2015-05-18 2015-05-19 2015-05-20 2015-05-21 2015-05-22 2015-05-23
Duda Komorowski
13. The Power of information refining
• Complete source materials.
• Transparency of the methods and calculations used.
• Full control over analytical procedures.
• The system is scalable, there is no limit to the number of
automatically identified, collected and analysed information.
• Competitively priced in operation.