Time Series ANN Approach for Weather Forecastingijctcm
Weather forecasting is most challenging problem around the world. There are various reason because of its experimented values in meteorology, but it is also a typical unbiased time series forecasting problem in scientific research. A lots of methods proposed by various scientists. The motive behind research is to predict more accurate. This paper contribute the same using artificial neural network (ANN) and simulated in MATLAB to predict two important weather parameters i.e. maximum and minimum temperature. The model has been trained using past 60 years of real data collected from(1901-1960) and tested over 40 years to forecast maximum and minimum temperature. The results based on mean square error function (MSE) confirm, this model which is based on multilayer perceptron has the potential to successful application to weather forecasting
Analyzing the Impact of Visitors on Page Views with Google Analytics dannyijwest
This paper develops a flexible methodology to analyze the effectiveness of different variables on
various dependent variables which all are times series and especially shows how to use a time
series regression on one of the most important and primary index (page views per visit) on
Google analytic and in conjunction it shows how to use the most suitable data to gain a more
accurate result.
Analyzing the Impact of Visitors on Page Views with Google Analytics dannyijwest
This paper develops a flexible methodology to analyze the effectiveness of different variables on various dependent variables which all are times series and especially shows how to use a time series regression on one of the most important and primary index (page views per visit) on Google analytic and in conjunction it shows how to use the most suitable data to gain a more accurate result. Search engine visitors have a variety of impact on page views which cannot be described by single regression. On one hand referral visitors are well-fitted on linear regression with low impact. On the other hand, direct visitors made a huge impact on page views. The higher connection speed does not simply imply higher impact on page views and the content of web page and the territory of visitors can help connection speed to describe user behavior. Returning visitors have some similarities with direct visitors.
Whitepaper: Measuring Engagement in Native AdvertisingMissy Steiner
Native advertising is relatively young compared to the paid
search and traditional display advertising markets which
means that the tools available to marketers to measure
the performance of their campaigns is immature. Marketers
are often forced to use click-through-rate (CTR) to
measure the performance of their campaign. In some
scenarios it makes sense to define a conversion goal and
measure conversion rate. However, this is not possible in
all scenarios.
Time Series ANN Approach for Weather Forecastingijctcm
Weather forecasting is most challenging problem around the world. There are various reason because of its experimented values in meteorology, but it is also a typical unbiased time series forecasting problem in scientific research. A lots of methods proposed by various scientists. The motive behind research is to predict more accurate. This paper contribute the same using artificial neural network (ANN) and simulated in MATLAB to predict two important weather parameters i.e. maximum and minimum temperature. The model has been trained using past 60 years of real data collected from(1901-1960) and tested over 40 years to forecast maximum and minimum temperature. The results based on mean square error function (MSE) confirm, this model which is based on multilayer perceptron has the potential to successful application to weather forecasting
Analyzing the Impact of Visitors on Page Views with Google Analytics dannyijwest
This paper develops a flexible methodology to analyze the effectiveness of different variables on
various dependent variables which all are times series and especially shows how to use a time
series regression on one of the most important and primary index (page views per visit) on
Google analytic and in conjunction it shows how to use the most suitable data to gain a more
accurate result.
Analyzing the Impact of Visitors on Page Views with Google Analytics dannyijwest
This paper develops a flexible methodology to analyze the effectiveness of different variables on various dependent variables which all are times series and especially shows how to use a time series regression on one of the most important and primary index (page views per visit) on Google analytic and in conjunction it shows how to use the most suitable data to gain a more accurate result. Search engine visitors have a variety of impact on page views which cannot be described by single regression. On one hand referral visitors are well-fitted on linear regression with low impact. On the other hand, direct visitors made a huge impact on page views. The higher connection speed does not simply imply higher impact on page views and the content of web page and the territory of visitors can help connection speed to describe user behavior. Returning visitors have some similarities with direct visitors.
Whitepaper: Measuring Engagement in Native AdvertisingMissy Steiner
Native advertising is relatively young compared to the paid
search and traditional display advertising markets which
means that the tools available to marketers to measure
the performance of their campaigns is immature. Marketers
are often forced to use click-through-rate (CTR) to
measure the performance of their campaign. In some
scenarios it makes sense to define a conversion goal and
measure conversion rate. However, this is not possible in
all scenarios.
Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries.
Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau
The Italian economy is mainly based on tourism. In this regard, we have tried to enhance the most successful point, namely the artistic and cultural heritage, giving more attention to museums as a means of attracting tourists to discover our history, culture and tradition.
Day after day, the audience of cultural visitors has increased dramatically, attracting the attention of many companies in integrating computer technology with culture.
Our company, therefore, has thought to invest in this area by proposing a new product to the service of the museums to emphasize its works through augmented reality.
Augmented reality is taking away more and more foot, with the aim of enriching the experience of the user of an exhibition or of turning the streets into open-air museums.
When a visitor enters a museum, the AR can become the means to show the work in its context, provide important details to the user and allow the visualization of related works of art, creating real emotional paths.
The museum becomes, therefore, a real toy in scale 1:1 and the objects are no longer considered "relics" but assume a well-defined form thanks to their contextualization.
The target audience includes all age groups, involving both adults and children. And it is precisely in this area that augmented reality is proposed as a great help for the educational mission of the museums.
This presentation explores the main issues that help to optimize media campaigns. Case studies and conclusions.
- What frequency is the most efficient for a campaign, creative?
- What is the duration of media effect?
- Which creative or site gives more results?
- How to choose effective sites?
The advertising materials analyzed in this presentation:
10 slide: http://newage.com.ua/rabota_video/rabota.html
http://newage.com.ua/rabota_b1/rabota_smart.html
http://newage.com.ua/rabota_b2/rabota_HRs.html
11 slide: http://newage.com.ua/MOYO/moyo.html
In this presentation, digital marketing manager John Leo Weber breaks down how UX fits into the work of search engine optimization, and makes a case for why SEOs should not ignore user experience (UX)
In data visualization courses, students learn to present data in visual form. This involves working with data, learning new software, and applying visual design principles. However, visualizations are only as effective as the insights they reveal.
These slides are from a 45-minute webinar that covers how to teach students to tell data-driven stories with visualizations, including:
Storytelling best practices
Techniques for helping others see key takeaways from visuals
The use of software to support data presentation in visual form
Tableau’s unique annotation, animation, and interactive features will be highlighted to demonstrate how they can support data-driven stories.
This is the way I like to present my web traffic reports.
Please if you have any doubt of comment share it with me, it will help to improve my work.
Thank you very much!!
E
PS: It looks better if you download it ;)
Google Analytics - Metrics That Actually MatterMoby Siddique
Delivered by redpandas.com.au, this presentation was presented to over 40 marketers, business owners & start-ups on the 24th May 2016 at the Aeona Business Centre.
According to data supported by BuiltWith, less than 10% of all websites have Google Analytics, fewer still actually know how to interpret the powerful yet overwhelming data available to them.
In this presentation, I went over an approach that asked key questions first then demonstrated how to find the answers in analytics - as opposed to what most people do: jump into the data in the hopes of finding something that sticks out.
We looked at:
• Setting up Google Analytics to report on your actual commercial goals and objectives.
• An assortment of ‘secret’ tools used by digital agencies you can use yourself
• A key difference of this masterclass is using Google analytics to answer questions (as opposed to using data retrospectively to make sense of it).
Answering questions such as:
• What are the characteristics of people who visit my site?
• How does my site compare to other sites in my specific industry?
• Is there data in analytics that will help me with content for social media?
• Where is my traffic coming from?
• What sources are engaged and what sources are converting?
• What pages do I need to work on according to the data?
Built a data warehouse from multiple data sources and ETL methodologies and executed three non-trivial Business Intelligence queries.
Technologies/Tools: R, SQL, Visual Studio, SQL Server Management, Tableau
The Italian economy is mainly based on tourism. In this regard, we have tried to enhance the most successful point, namely the artistic and cultural heritage, giving more attention to museums as a means of attracting tourists to discover our history, culture and tradition.
Day after day, the audience of cultural visitors has increased dramatically, attracting the attention of many companies in integrating computer technology with culture.
Our company, therefore, has thought to invest in this area by proposing a new product to the service of the museums to emphasize its works through augmented reality.
Augmented reality is taking away more and more foot, with the aim of enriching the experience of the user of an exhibition or of turning the streets into open-air museums.
When a visitor enters a museum, the AR can become the means to show the work in its context, provide important details to the user and allow the visualization of related works of art, creating real emotional paths.
The museum becomes, therefore, a real toy in scale 1:1 and the objects are no longer considered "relics" but assume a well-defined form thanks to their contextualization.
The target audience includes all age groups, involving both adults and children. And it is precisely in this area that augmented reality is proposed as a great help for the educational mission of the museums.
This presentation explores the main issues that help to optimize media campaigns. Case studies and conclusions.
- What frequency is the most efficient for a campaign, creative?
- What is the duration of media effect?
- Which creative or site gives more results?
- How to choose effective sites?
The advertising materials analyzed in this presentation:
10 slide: http://newage.com.ua/rabota_video/rabota.html
http://newage.com.ua/rabota_b1/rabota_smart.html
http://newage.com.ua/rabota_b2/rabota_HRs.html
11 slide: http://newage.com.ua/MOYO/moyo.html
In this presentation, digital marketing manager John Leo Weber breaks down how UX fits into the work of search engine optimization, and makes a case for why SEOs should not ignore user experience (UX)
In data visualization courses, students learn to present data in visual form. This involves working with data, learning new software, and applying visual design principles. However, visualizations are only as effective as the insights they reveal.
These slides are from a 45-minute webinar that covers how to teach students to tell data-driven stories with visualizations, including:
Storytelling best practices
Techniques for helping others see key takeaways from visuals
The use of software to support data presentation in visual form
Tableau’s unique annotation, animation, and interactive features will be highlighted to demonstrate how they can support data-driven stories.
This is the way I like to present my web traffic reports.
Please if you have any doubt of comment share it with me, it will help to improve my work.
Thank you very much!!
E
PS: It looks better if you download it ;)
Google Analytics - Metrics That Actually MatterMoby Siddique
Delivered by redpandas.com.au, this presentation was presented to over 40 marketers, business owners & start-ups on the 24th May 2016 at the Aeona Business Centre.
According to data supported by BuiltWith, less than 10% of all websites have Google Analytics, fewer still actually know how to interpret the powerful yet overwhelming data available to them.
In this presentation, I went over an approach that asked key questions first then demonstrated how to find the answers in analytics - as opposed to what most people do: jump into the data in the hopes of finding something that sticks out.
We looked at:
• Setting up Google Analytics to report on your actual commercial goals and objectives.
• An assortment of ‘secret’ tools used by digital agencies you can use yourself
• A key difference of this masterclass is using Google analytics to answer questions (as opposed to using data retrospectively to make sense of it).
Answering questions such as:
• What are the characteristics of people who visit my site?
• How does my site compare to other sites in my specific industry?
• Is there data in analytics that will help me with content for social media?
• Where is my traffic coming from?
• What sources are engaged and what sources are converting?
• What pages do I need to work on according to the data?
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...
Tv evaluation 12032014
1. 1
STI INNSBRUCK
EVALUATION OF SEMANTIC
ANNOTATIONS OF
TOURISMUSVERBAND
Corneliu Valentin Stanciu, Ioan Toma, Anna Fensel
STI Innsbruck, University of Innsbruck,
Technikerstraße 21a, 6020 Innsbruck, Austria
firstname.lastname@sti2.at
2014-03-11
Semantic Technology Institute Innsbruck
STI INNSBTRUCK
Technikerstraße 21a
A – 6020 Innsbruck
Austria
http://www.sti-innsbruck.
3. 1
Contents
1. Introduction....................................................................................................................................2
2. Evaluation ......................................................................................................................................2
2.1 Number of Visitors....................................................................................................................2
2.2 Search Engines..........................................................................................................................5
2.3 Landing Pages...........................................................................................................................6
3. Conclusion and Next Steps..............................................................................................................8
4. 2
1. Introduction
Structured data markup on web pages brings many benefits to a website in terms of visibility
enabling search engines to interpret content and, therefore, increasing the likelihood that the
website is included in the search results for a related query. Schema.org1, an approach supported
by main search engines such as Bing, Google, Yahoo!, Yandex, is the major initiative that webmasters
can use to markup their pages in ways recognized by major search providers. This document presents
the evaluation of the Tourismusverband Innsbruck (TVb) website, after annotating part of the
website’s content with Schema.org2 annotations.
The remainder of the document is organized as follows: Section 2 describes the evaluation in
terms of criteria and figures. Finally, Section 3 concludes the document and describes about next
steps.
2. Evaluation
This section provides the details involved in the process of evaluating the website. First, the
number of visitors will be presented for the periods before and after annotating the content. Then
comparisons between the
The date when the annotations were deployed on TVb’s website was Jan 20, 2014. For the data
analysis, a period of time of 40 days was chosen, before and after deployment.
2.1 Number of Visitors
For a selected period before the deployment, meaning December 11, 2013 until January 19, 2014, there
was a total of 249.510 visits, 67.7% of them being returning visitors and 32.3% new visitors, as also
shown in Figure 1 and 2.
Figure 1 - Total number of visitors between Dec 11, 2013 and Jan 19, 2014
1 http://schema.org/
2 http://schema.org/
5. 3
Figure 2 - New versus Returning Visitors
The second period which we analyzed is the period after deployment, meaning January 20, 2014 until
February 28, 2014. Figure 3 and 4 shows a total number of visitors of 201.242, 66% being returning
visitors and 34% new visitors.
Figure 3 - Total number of visitors between Jan 20, 2014 and Feb 28, 2014
6. 4
Figure 4 - New versus Returning Visitors
Comparing the two periods it results a decrease of 19.35% visitors for the period after deployment.
Taking into account that important events like Christmas, New Year,Christmas Market time, holiday, etc.
happened to be in the period before deployment, make the decrease not so relevant.
To order to ensure more stable and accurate results,we will need to have almost the same events in both
periods. Therefore, we decide to compare the same periods to time but in different years.
First we compare the period before the deployment of annotations (Dec 11, 2013 – Jan 19, 2014) with the
same period of the previous year (Dec 11, 2012 – Jan 19, 2013). As is shown in Figure 5, there is an
increase of 16.96% visitors, meaning that TVb was able to increase the number of visitors with 16.96%
without using semantic annotations.
Figure 5 – Comparison of visitors before deployment and the same period of previous year.
However, comparing also the period after deployment (Jan 20, 2014 – Feb 28, 2014) with the same period
of the previous year (Jan 20, 2013 – Feb 28, 2013), we can observe an increase of 25.59% visitors (see
Figure 6).
7. 5
Figure 6 - Comparison of visitors after deployment and the same period of previous year
If the increase of visitors without annotations was of 16.96%, the increase of visitors with annotations is
of 25.59%. Meaning that the difference of 8.63% on the number of visitors may be caused by annotating
the content.
2.2 Search Engines
Most users reach the desired resource destinations using search engines. Also on TVb website
are visitors coming through search engines and this section will show some figures regarding the
numbers of visitors coming from search engines and how this numbers are affected by semantic
annotations.
Figure 7 shows the number of visitors from the most well-known search engines, compared
over the period before deployment and same period of previous year.
8. 6
Figure 7 - Search engines for the period after deployment
Figure 8 shows the comparison of the period after deployment and same period of previous
year.
Figure 8 - Search engines for the period after deployment
To conclude this section, the most visitors came through Google, which has an increase from
27.77% to 41.85% visitors, followed by Bing with an increase from 82.27% to 90.51%.
This the difference of number of visitors per search engine may be caused by annotating the content.
2.3 Landing Pages
9. 7
One other important aspect of this semantic annotations evaluation is the direct impact of
annotated pages on the number of visitors, e.g. presentation page of Hotel Grand Europa on
TVb’s website. For this case we analyzed the before and after deployment periods directly.
Figure 9 – Comparison of some annotated landing pages
10. 8
The outcome, despite the important events which took place in the before deployment period, are
showing a total increase of 5.46% visitors on the landing pages of hotels, restaurant, sightseeing,
etc.
3. Conclusion and Next Steps
We know for a fact and we saw also in this document that search engines are using semantic
annotations. Just by annotating part of website’s entire content may increase the website’s
visibility.
For more accurate results we would like to re-evaluate the website based on a longer period of
time, e.g. 3-6 months and another review for the entire year 2014.