Slides of the course on big data by C. Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> The 5 driving forces behind big data.
Slides of the course on big data by C. Levallois from EMLYON Business School. For business students. Check the online video connected with these slides.
-> Basic definition of data and related concepts that you need to characterize a dataset.
Slides of the course on big data by Clement Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> An exploration of the opportunities and limits that data brings to personalization.
Slides of the course on big data by C. Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> Definition of data integration / fragmentation in a multichannel marketing environment. Explanation of the business stakes of data integration.
Slides of the course on big data by C. Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> Definition of text mining, the main categories of tools available (such as topic categorization or sentiment analysis) and their use for business.
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms, and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles, and methods in various scenarios of social media mining.
Details at: http://dmml.asu.edu/smm/
Slides of the course on big data by C. Levallois from EMLYON Business School. For business students. Check the online video connected with these slides.
-> Basic definition of data and related concepts that you need to characterize a dataset.
Slides of the course on big data by Clement Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> An exploration of the opportunities and limits that data brings to personalization.
Slides of the course on big data by C. Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> Definition of data integration / fragmentation in a multichannel marketing environment. Explanation of the business stakes of data integration.
Slides of the course on big data by C. Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> Definition of text mining, the main categories of tools available (such as topic categorization or sentiment analysis) and their use for business.
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms, and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles, and methods in various scenarios of social media mining.
Details at: http://dmml.asu.edu/smm/
Evolving social data mining and affective analysis Athena Vakali
Evolving social data mining and affective analysis methodologies, framework and applications - Web 2.0 facts and social data
Social associations and all kinds of graphs
Evolving social data mining
Emotion-aware social data analysis
Frameworks and Applications
Social Media Mining - Chapter 5 (Data Mining Essentials)SocialMediaMining
R. Zafarani, M. A. Abbasi, and H. Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014.
Free book and slides at http://socialmediamining.info/
The profile of the management (data) scientist: Potential scenarios and skill...Juan Mateos-Garcia
Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers.
Social Targeting: Understanding Social Media Data Mining & AnalysisInfini Graph
Chase McMichael – CEO, InfiniGraph
Social Targeting: Understanding Social Media Data Mining & Analysis
With the advent of the social web, companies that aren’t actively mining, analysing and using social media data are missing a huge commercial advantage. In this session Chase McMichael will explain how social targeting works, including technologies, techniques and opportunities. He will also highlight the privacy challenges facing the industry.
Social media is an umbrella term that defines the various activities that integrate technology, social interaction, and the construction of words, pictures, videos and audio.
Big Data is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it…
Hadoop is an open source framework which is used for storing and processing the large scale of data sets on large clusters of hardware.
I use this presentation to give people a quick introduction to Social Media Analytics. My goal was to make it visual, rather than very descriptive. It exemplifies how you can extract value from social media conversations and apply those to everyday decisions.
Big Data Analytics : Understanding for Research ActivityAndry Alamsyah
Big Data Analytics Presentation at International Workshop Colloquium Exploring Research Opportunity. School of Business and Management (SBM) - ITB. Bandung, 8 August 2019.
Presentation given at the conference "open data for impact"
Erasmus+ project "Public Makers"
https://www.linkedin.com/posts/wide-luxembourg_opendata-publicmakers-activity-6818166878473596928-7ImU/
Avoiding Anonymous Users in Multiple Social Media Networks (SMN)paperpublications3
Abstract: The main aim of this project is secure the user login and data sharing among the social networks like Gmail, Facebook and also find anonymous user using this networks. If the original user not available in the networks, but their friends or anonymous user knows their login details means possible to misuse their chats. In this project we have to overcome the anonymous user using the network without original user knowledge. Unauthorized user using the login to chat, share images or videos etc This is the problem to be overcome in this project .That means user first register their details with one secured question and answer. Because the anonymous user can delete their chat or data In this by using the secured questions we have to recover the unauthorized user chat history or sharing details with their IP address or MAC address. So in this project they have found out a way to prevent the anonymous users misuse the original user login details.
A major North American telecom sought to identify factors driving customer churn. We applied social network analysis over several billion call records. We found that customers with a cancellation in their frequent calling network churned at twice the monthly rate.
So you got yourself a sparkling new data management platform that is supposed to pull together inputs of all sorts to drive everything from ad buying to CRM? But where do you start in making something of this new machine. Lenovo uses data to drive media buys not only across channels but global borders as well. Its Director of Global Digital Marketing explains how it it works.
Evolving social data mining and affective analysis Athena Vakali
Evolving social data mining and affective analysis methodologies, framework and applications - Web 2.0 facts and social data
Social associations and all kinds of graphs
Evolving social data mining
Emotion-aware social data analysis
Frameworks and Applications
Social Media Mining - Chapter 5 (Data Mining Essentials)SocialMediaMining
R. Zafarani, M. A. Abbasi, and H. Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014.
Free book and slides at http://socialmediamining.info/
The profile of the management (data) scientist: Potential scenarios and skill...Juan Mateos-Garcia
Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers.
Social Targeting: Understanding Social Media Data Mining & AnalysisInfini Graph
Chase McMichael – CEO, InfiniGraph
Social Targeting: Understanding Social Media Data Mining & Analysis
With the advent of the social web, companies that aren’t actively mining, analysing and using social media data are missing a huge commercial advantage. In this session Chase McMichael will explain how social targeting works, including technologies, techniques and opportunities. He will also highlight the privacy challenges facing the industry.
Social media is an umbrella term that defines the various activities that integrate technology, social interaction, and the construction of words, pictures, videos and audio.
Big Data is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it…
Hadoop is an open source framework which is used for storing and processing the large scale of data sets on large clusters of hardware.
I use this presentation to give people a quick introduction to Social Media Analytics. My goal was to make it visual, rather than very descriptive. It exemplifies how you can extract value from social media conversations and apply those to everyday decisions.
Big Data Analytics : Understanding for Research ActivityAndry Alamsyah
Big Data Analytics Presentation at International Workshop Colloquium Exploring Research Opportunity. School of Business and Management (SBM) - ITB. Bandung, 8 August 2019.
Presentation given at the conference "open data for impact"
Erasmus+ project "Public Makers"
https://www.linkedin.com/posts/wide-luxembourg_opendata-publicmakers-activity-6818166878473596928-7ImU/
Avoiding Anonymous Users in Multiple Social Media Networks (SMN)paperpublications3
Abstract: The main aim of this project is secure the user login and data sharing among the social networks like Gmail, Facebook and also find anonymous user using this networks. If the original user not available in the networks, but their friends or anonymous user knows their login details means possible to misuse their chats. In this project we have to overcome the anonymous user using the network without original user knowledge. Unauthorized user using the login to chat, share images or videos etc This is the problem to be overcome in this project .That means user first register their details with one secured question and answer. Because the anonymous user can delete their chat or data In this by using the secured questions we have to recover the unauthorized user chat history or sharing details with their IP address or MAC address. So in this project they have found out a way to prevent the anonymous users misuse the original user login details.
A major North American telecom sought to identify factors driving customer churn. We applied social network analysis over several billion call records. We found that customers with a cancellation in their frequent calling network churned at twice the monthly rate.
So you got yourself a sparkling new data management platform that is supposed to pull together inputs of all sorts to drive everything from ad buying to CRM? But where do you start in making something of this new machine. Lenovo uses data to drive media buys not only across channels but global borders as well. Its Director of Global Digital Marketing explains how it it works.
Notes from the Observation Deck // A Data Revolution gngeorge
Notes from the Observation Deck will provide you with an examined look at the interesting phenomena and trends taking place around us today. We present them to you with the hope of sparking broader conversations, debates and ideas. Please use this as a resource for knowledge, inspiration and enjoyment.
Data Cloud - Yury Lifshits - Yahoo! ResearchYury Lifshits
In this talk we address two questions:
1) How to use structured data in web search?
2) How to gather structured data?
For the first question we identify valuable classes of data, present query classes that can benefit from structured data and describe architecture that combines keyword search with structured search.
For the second question we present Data Cloud: An ecosystem of data publishers, search engine (data cloud) and data consumers. We show connection form Data Cloud Strategy to classic notion in economics: network effect in two-sided markets. At the end of the talk an early demo implementation will be presented.
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceJedha Bootcamp
Depuis les 5 dernières années, nous avons créé plus de données que depuis les débuts de l'humanité. Nous produisons aujourd'hui tellement de données qu'il devient difficile de les gérer. C'est ce qu'on appelle le Big Data. Durant ce workshop nous parlerons des enjeux du Big Data et de ses applications concrètes dans notre société.
Part 2: covid-19 on Twitter, with a focus on 3 new seed accountsClement Levallois
First part of the analysis chose to picture the global conversation on Twitter by picking 3 accounts in Italian, Spanish and English languages.
We identified several clusters gathering professional epidemiologists.
In this follow up, we run a new analysis where the starting points are 3 Twitter accounts of epidemiologists that were found in these clusters. The end goal is to identify many more epidemiologists.
Présentation FrenchWeb: Qu'est-ce que la visualisation des données?Clement Levallois
Slides du Webinar FrenchWeb par Clément Levallois.
Pour en savoir plus:
https://executive.em-lyon.com/Formations/Certificats/EMS02-Transformation-Digitale-des-Organisations
Presentation of programming languages for beginnersClement Levallois
For beginners, a description of the main programming languages and what they can be used for. Includes Java, Swift, Python, R, Ruby, Javascript, C, C#, Objective C.
A report on a classroom experiment at em Lyon Business School. 90 students will build a sentiment analysis tool for tweets, in 8 languages.
This slidedeck is a report on theproject for the conference on "Digital Labor and data science", held in Paris on Oct 21, 2016.
-> http://www.dlids.org
Dans le cadre de la présentation du programme "Transformation Digitale des Organisations", lancé en 2017 par em Lyon Business School et Visiativ:
https://executive.em-lyon.com/Formations/Diplomes/EMS02-Programme-Transformation-Digitale-des-Organisations#index
Slides of the course on big data by Clement Levallois from EMLYON Business School.
For business students. Check the online video connected with these slides.
-> Machine learning explained in simple terms to a business audience: what is a training set, a test set, and how does machine learning differ from statistics.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
What is big data?
1. MK99 – Big Data
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Big data & cross-platform analytics
MOOC lectures Pr. Clement Levallois
2. MK99 – Big Data
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What is big data?
•You should have watched the video clip about “What is data?” first.
3. MK99 – Big Data
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Big data is a mess.
… but we can find 5 key points helping us understand what it is.
4. MK99 – Big Data
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1. Data gets generated in bigger volumes because of the digitalization of the economy
Data generated by a movie-goer:
1.On the box office ticket: movie title, date, price
In a movie theater
Watching through Netflix
1.Login to Netflix: age, name, gender, location + preferences for movie genres?
2.Browsing / purchasing history for movies
3.Movie title, date and price for the movie
4.Data on movie paused / interrupted?
5.Comments / ratings posted
6.Follow / Friends activities
7.If Netflix account connected to FB: personal info, etc.
5. MK99 – Big Data
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Another look at the digitalization of the economy: products and distribution channels
Before
After
Source: “B4B” by Wood, Hewlin & Lah (2013)
6. MK99 – Big Data
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2. Low prices made data a cheaper commodity
•Larger Storage and processing power (computers!)
–Prices for hard drives and processors get regularly cut by two
–Personal anecdote: in 1994 my parents paid ~ 1,600€ a computer with a *450Mb* hard drive.
•Quicker data communication (Internet! Optical Fiber!)
–Broadband connections become mainstream
•More powerful, free software for analysis
–Ex: Excel can now analyze 1,000,000 rows x 1,600 col: it was just 16,000 x 256 cols 5 years ago.
–New Open source software and packages such as R provide free software solutions for analysis
=> In practice, this means that SME can afford to generate, store and explore datasets.
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3. More stuff count as “data” now
In the 1990’s
Standardized texts and numbers
In the 2010’s
Standardized texts and numbers +
- Places (info about distance, proximity, etc.)
- Networks (info about who is connected with whom)
- Free text (semantics and meaning)
Typical query would be:
In my database, find all customers living in the city “Paris”, which bought at least one product last month.
Example of a query: “In my database, find all customers living between Dijon and Paris, who made a negative comment about one of our products and who are popular in their network of friends”.
This is much richer than the query you see on the left, because it deals with geographical distances, opinions and connections between stuff – these are not simple operations on text and numbers!
Today, space, semantics and networks count as data with business relevance, that needs to be stored and queried.
Big players in these new dbs are Neo4J, CartoDB, MongoDB. Search also for SPARQL.
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4. Growing expectations about the value of large datasets
With big data, you hope you can…
-Detect things before they are reported (crimes, epidemics, change in consumer tastes)
-Have a 360 view on each person in your db (customer, patient, citizen…)
-and create the perfect response to that (personalized products and services)
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5. More data to come!
•Internet of Things (“connected objects”)
–Connected camera, phone, toothbrush, watch, shoes, car, scale, aircon, jewelry, etc.
-> All these objects generate data about speed, temperature, behavior, etc.
•Open data movement
–Governments, cities, NGOs and firms open up their data to users.
•Quantified self movement
–People wearing connected objects (bracelets, shoes, phones, etc.) to track their biometrics and possibly sharing them.
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Next steps
•Watch the video clip on 2 popular expressions:
–“the cloud” and “Hadoop”
–Continue the readings for week 1
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This slide presentation is part of a course offered by EMLYON Business School (www.em-lyon.com)
Contact Clement Levallois (levallois [at] em-lyon.com) for more information.