SlideShare a Scribd company logo

Team activity analysis / visualization

•
•
Nicolas Maisonneuve
Nicolas Maisonneuve

The document describes an activity analysis and visualization project with the following objectives: 1. Build a system to support groups in learning how to work more effectively through visualizing collaboration data logs. 2. Develop different types of visualizations like activity radars and interaction networks to provide insights into participation, interactions, and timelines of events. 3. Apply data mining techniques to find frequent patterns and sequences of events that characterize aspects of teamwork.

1 of 20
Team Activity Analysis/Visualisation Project Members : Judy Kay,Nicolas Maisonneuve, Peter Reimann, Kalina Yacef
Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Case studies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ticket: Task Manager SVN: Source Repository Wiki: Web Page Editor
Related Works & Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Visualisation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Activity Radar – Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],High participation Average Participation Low participation
Activity Radar – Comparison with a classic histogram ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],DG 1 H1 DG 2 H2
Interaction Network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Interaction for the wiki Interaction for the tickets
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Interaction Network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wattle Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Datamining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Frequent Sequence Pattern ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Example: Find all the seq with a Minimum Support = 3: Sup(<a,b,c>)=2 , no good. Sup(<a,c>)=4  <a,c> ok Sup(<e,b,a>)=3  <e,b,a> ok ,[object Object],4 ,[object Object],3 ,[object Object],2 ,[object Object],1 Sequence CustID
2 main problems: ,[object Object],[object Object],[object Object],[object Object]
Generation of the list of sequences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],4 ,[object Object],3 ,[object Object],2 ,[object Object],1 Sequence ActivityID ,[object Object],Ticket2 ,[object Object],Ticket1 ,[object Object],wikiPage2 ,[object Object],wikiPage1 Sequence ResID
Generation of the list of sequences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],3 ,[object Object],3 ,[object Object],2 ,[object Object],1 Sequence of items ActivityID ,[object Object],4 ,[object Object],3 ,[object Object],2 ,[object Object],1 Sequence of events ActivtyID
GSP, Generalized Sequence Pattern. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ex: Minimum Support=3 Step 1: Sup(a)=3, Sup(b)=4, Sup(e)=1, Step k: Generation Phase (join phase) <a,b,c,d> 4 <a,b,f,c,e,d> 3 <a,b,f,c,d> 2 <a,b,c,f,d> 1 <a,b,f> <b,f, d> <a,b,f,d> <b,c,d> <a,b,c,d> <a,b,c> Candidate 4-sequence Frequent 3-sequence
Results - Resources. ,[object Object],[object Object],[object Object],[object Object],1 0 0 0 0 (9w5,16) 0 0 1 0 0 (9t5,50) 208 755 654 160 99 (1s1,0) 1 5 10 54 11 (1w1,0) 13 95 22 49 0 (2s1,0) ,[object Object],Ticket2 ,[object Object],Ticket1 ,[object Object],wikipage2 ,[object Object],wikipage1 Sequence of items REsID ,[object Object],Ticket2 ,[object Object],Ticket1 ,[object Object],wikipage2 ,[object Object],wikipage1 Sequence of events ResID
Future works ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Recommended

Temporal data mining
Temporal data miningTemporal data mining
Temporal data miningReachLocal Services India
 
Efficient Online Evaluation of Big Data Stream Classifiers
Efficient Online Evaluation of Big Data Stream ClassifiersEfficient Online Evaluation of Big Data Stream Classifiers
Efficient Online Evaluation of Big Data Stream Classifiers
Albert Bifet
 
Mining Data Streams
Mining Data StreamsMining Data Streams
Mining Data Streams
SujaAldrin
 
t10_part1.pptx
t10_part1.pptxt10_part1.pptx
t10_part1.pptx
JoydipChandra2
 
Real-Time Big Data Stream Analytics
Real-Time Big Data Stream AnalyticsReal-Time Big Data Stream Analytics
Real-Time Big Data Stream Analytics
Albert Bifet
 
Presentation iswc
Presentation iswcPresentation iswc
Presentation iswc
SydGillani
 
Moa: Real Time Analytics for Data Streams
Moa: Real Time Analytics for Data StreamsMoa: Real Time Analytics for Data Streams
Moa: Real Time Analytics for Data Streams
Albert Bifet
 
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
Jiapeng Wu
 

Recommended

Temporal data mining
Temporal data miningTemporal data mining
Temporal data miningReachLocal Services India
 
Efficient Online Evaluation of Big Data Stream Classifiers
Efficient Online Evaluation of Big Data Stream ClassifiersEfficient Online Evaluation of Big Data Stream Classifiers
Efficient Online Evaluation of Big Data Stream Classifiers
Albert Bifet
 
Mining Data Streams
Mining Data StreamsMining Data Streams
Mining Data Streams
SujaAldrin
 
t10_part1.pptx
t10_part1.pptxt10_part1.pptx
t10_part1.pptx
JoydipChandra2
 
Real-Time Big Data Stream Analytics
Real-Time Big Data Stream AnalyticsReal-Time Big Data Stream Analytics
Real-Time Big Data Stream Analytics
Albert Bifet
 
Presentation iswc
Presentation iswcPresentation iswc
Presentation iswc
SydGillani
 
Moa: Real Time Analytics for Data Streams
Moa: Real Time Analytics for Data StreamsMoa: Real Time Analytics for Data Streams
Moa: Real Time Analytics for Data Streams
Albert Bifet
 
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Com...
Jiapeng Wu
 
The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...Thanh Hieu
 
Social Computing Research with Apache Spark
Social Computing Research with Apache SparkSocial Computing Research with Apache Spark
Social Computing Research with Apache Spark
Matthew Rowe
 
Scoring, term weighting and the vector space
Scoring, term weighting and the vector spaceScoring, term weighting and the vector space
Scoring, term weighting and the vector spaceUjjawal
 
Streaming Algorithms
Streaming AlgorithmsStreaming Algorithms
Streaming Algorithms
Joe Kelley
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
Krish_ver2
 
Binary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool EvaluationBinary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool Evaluation
Liwei Ren任力偉
 
Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014
Raja Chiky
 
Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013
Rogers Communications
 
World Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel HafezWorld Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel Hafez
Rotary District 2451
 
Review paper human activity analysis
Review paper human activity analysisReview paper human activity analysis
Review paper human activity analysisIftikhar Alam
 
Ideas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote workingIdeas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote working
Samsung at Work
 
Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3
Samsung at Work
 
CoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected WorkplaceCoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected Workplace
WoodheadArchitecture
 
Estimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysisEstimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysis
Amrita Roy (Ex Capt.) (MSN,MBA-HCS,BSN)
 
03
0303
03moodle_annotation
 
Types Working for You, Not Against You
Types Working for You, Not Against YouTypes Working for You, Not Against You
Types Working for You, Not Against You
C4Media
 
A Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social MediaA Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social Media
INRIA-OAK
 
Cloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big DataCloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big Data
Abhishek M Shivalingaiah
 
The Incremental Path to Observability
The Incremental Path to ObservabilityThe Incremental Path to Observability
The Incremental Path to Observability
Emily Nakashima
 
Visualizing the Evolution of Working Sets
Visualizing the Evolution of Working SetsVisualizing the Evolution of Working Sets
Visualizing the Evolution of Working Sets
Roberto Minelli
 
Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)
Benjamin Bengfort
 
GitConnect
GitConnectGitConnect
GitConnect
Akshara Chaturvedi
 

More Related Content

What's hot

The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...Thanh Hieu
 
Social Computing Research with Apache Spark
Social Computing Research with Apache SparkSocial Computing Research with Apache Spark
Social Computing Research with Apache Spark
Matthew Rowe
 
Scoring, term weighting and the vector space
Scoring, term weighting and the vector spaceScoring, term weighting and the vector space
Scoring, term weighting and the vector spaceUjjawal
 
Streaming Algorithms
Streaming AlgorithmsStreaming Algorithms
Streaming Algorithms
Joe Kelley
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
Krish_ver2
 
Binary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool EvaluationBinary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool Evaluation
Liwei Ren任力偉
 
Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014
Raja Chiky
 

What's hot (7)

The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...The study on mining temporal patterns and related applications in dynamic soc...
The study on mining temporal patterns and related applications in dynamic soc...
 
Social Computing Research with Apache Spark
Social Computing Research with Apache SparkSocial Computing Research with Apache Spark
Social Computing Research with Apache Spark
 
Scoring, term weighting and the vector space
Scoring, term weighting and the vector spaceScoring, term weighting and the vector space
Scoring, term weighting and the vector space
 
Streaming Algorithms
Streaming AlgorithmsStreaming Algorithms
Streaming Algorithms
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
 
Binary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool EvaluationBinary Similarity : Theory, Algorithms and Tool Evaluation
Binary Similarity : Theory, Algorithms and Tool Evaluation
 
Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014Introduction to Data streaming - 05/12/2014
Introduction to Data streaming - 05/12/2014
 

Viewers also liked

Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013
Rogers Communications
 
World Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel HafezWorld Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel Hafez
Rotary District 2451
 
Review paper human activity analysis
Review paper human activity analysisReview paper human activity analysis
Review paper human activity analysisIftikhar Alam
 
Ideas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote workingIdeas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote working
Samsung at Work
 
Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3
Samsung at Work
 
CoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected WorkplaceCoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected Workplace
WoodheadArchitecture
 
Estimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysisEstimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysis
Amrita Roy (Ex Capt.) (MSN,MBA-HCS,BSN)
 

Viewers also liked (7)

Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013Rogers Connected Workplace report 2013
Rogers Connected Workplace report 2013
 
World Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel HafezWorld Class Team 2015/2016 DGE Adel Hafez
World Class Team 2015/2016 DGE Adel Hafez
 
Review paper human activity analysis
Review paper human activity analysisReview paper human activity analysis
Review paper human activity analysis
 
Ideas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote workingIdeas for Work: How to make the most of remote working
Ideas for Work: How to make the most of remote working
 
Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3Ideas for Work: How to build a better-connected workplace - Blueprint #3
Ideas for Work: How to build a better-connected workplace - Blueprint #3
 
CoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected WorkplaceCoreNet Sydney - The Connected Workplace
CoreNet Sydney - The Connected Workplace
 
Estimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysisEstimation of nursing staff requirement – activity analysis
Estimation of nursing staff requirement – activity analysis
 

Similar to Team activity analysis / visualization

Types Working for You, Not Against You
Types Working for You, Not Against YouTypes Working for You, Not Against You
Types Working for You, Not Against You
C4Media
 
A Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social MediaA Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social Media
INRIA-OAK
 
Cloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big DataCloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big Data
Abhishek M Shivalingaiah
 
The Incremental Path to Observability
The Incremental Path to ObservabilityThe Incremental Path to Observability
The Incremental Path to Observability
Emily Nakashima
 
Visualizing the Evolution of Working Sets
Visualizing the Evolution of Working SetsVisualizing the Evolution of Working Sets
Visualizing the Evolution of Working Sets
Roberto Minelli
 
Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)
Benjamin Bengfort
 
GitConnect
GitConnectGitConnect
GitConnect
Akshara Chaturvedi
 
Hands on Mahout!
Hands on Mahout!Hands on Mahout!
Hands on Mahout!
OSCON Byrum
 
Multi-Perspective Comparison of Business Processes Variants Based on Event Logs
Multi-Perspective Comparison of Business Processes Variants Based on Event LogsMulti-Perspective Comparison of Business Processes Variants Based on Event Logs
Multi-Perspective Comparison of Business Processes Variants Based on Event Logs
Marlon Dumas
 
Marketing analysis
Marketing analysisMarketing analysis
Marketing analysis
Gaurav Dubey
 
Efficient Process Model Discovery Using Maximal Pattern Mining
Efficient Process Model Discovery Using Maximal Pattern MiningEfficient Process Model Discovery Using Maximal Pattern Mining
Efficient Process Model Discovery Using Maximal Pattern Mining
Dr. Sira Yongchareon
 
Text mining and social network analysis of twitter data part 1
Text mining and social network analysis of twitter data part 1Text mining and social network analysis of twitter data part 1
Text mining and social network analysis of twitter data part 1
Johan Blomme
 
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
Spark Summit
 
GPU Acceleration of Set Similarity Joins
GPU Acceleration of Set Similarity JoinsGPU Acceleration of Set Similarity Joins
GPU Acceleration of Set Similarity Joins
Mateus S. H. Cruz
 
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
Andrii Gakhov
 
Software metrics
Software metricsSoftware metrics
Software metrics
Dr. C.V. Suresh Babu
 
Collective Response Spike Prediction for Mutually Interacting Consumers
Collective Response Spike Prediction for Mutually Interacting ConsumersCollective Response Spike Prediction for Mutually Interacting Consumers
Collective Response Spike Prediction for Mutually Interacting Consumers
Rikiya Takahashi
 
Chapter two
Chapter twoChapter two
Chapter two
mihiretu kassaye
 
ODSC 2019: Sessionisation via stochastic periods for root event identification
ODSC 2019: Sessionisation via stochastic periods for root event identificationODSC 2019: Sessionisation via stochastic periods for root event identification
ODSC 2019: Sessionisation via stochastic periods for root event identification
Kuldeep Jiwani
 

Similar to Team activity analysis / visualization (20)

03
0303
03
 
Types Working for You, Not Against You
Types Working for You, Not Against YouTypes Working for You, Not Against You
Types Working for You, Not Against You
 
A Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social MediaA Network-Aware Approach for Searching As-You-Type in Social Media
A Network-Aware Approach for Searching As-You-Type in Social Media
 
Cloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big DataCloudera Movies Data Science Project On Big Data
Cloudera Movies Data Science Project On Big Data
 
The Incremental Path to Observability
The Incremental Path to ObservabilityThe Incremental Path to Observability
The Incremental Path to Observability
 
Visualizing the Evolution of Working Sets
Visualizing the Evolution of Working SetsVisualizing the Evolution of Working Sets
Visualizing the Evolution of Working Sets
 
Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)Dynamics in graph analysis (PyData Carolinas 2016)
Dynamics in graph analysis (PyData Carolinas 2016)
 
GitConnect
GitConnectGitConnect
GitConnect
 
Hands on Mahout!
Hands on Mahout!Hands on Mahout!
Hands on Mahout!
 
Multi-Perspective Comparison of Business Processes Variants Based on Event Logs
Multi-Perspective Comparison of Business Processes Variants Based on Event LogsMulti-Perspective Comparison of Business Processes Variants Based on Event Logs
Multi-Perspective Comparison of Business Processes Variants Based on Event Logs
 
Marketing analysis
Marketing analysisMarketing analysis
Marketing analysis
 
Efficient Process Model Discovery Using Maximal Pattern Mining
Efficient Process Model Discovery Using Maximal Pattern MiningEfficient Process Model Discovery Using Maximal Pattern Mining
Efficient Process Model Discovery Using Maximal Pattern Mining
 
Text mining and social network analysis of twitter data part 1
Text mining and social network analysis of twitter data part 1Text mining and social network analysis of twitter data part 1
Text mining and social network analysis of twitter data part 1
 
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
Time-evolving Graph Processing on Commodity Clusters: Spark Summit East talk ...
 
GPU Acceleration of Set Similarity Joins
GPU Acceleration of Set Similarity JoinsGPU Acceleration of Set Similarity Joins
GPU Acceleration of Set Similarity Joins
 
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
Exceeding Classical: Probabilistic Data Structures in Data Intensive Applicat...
 
Software metrics
Software metricsSoftware metrics
Software metrics
 
Collective Response Spike Prediction for Mutually Interacting Consumers
Collective Response Spike Prediction for Mutually Interacting ConsumersCollective Response Spike Prediction for Mutually Interacting Consumers
Collective Response Spike Prediction for Mutually Interacting Consumers
 
Chapter two
Chapter twoChapter two
Chapter two
 
ODSC 2019: Sessionisation via stochastic periods for root event identification
ODSC 2019: Sessionisation via stochastic periods for root event identificationODSC 2019: Sessionisation via stochastic periods for root event identification
ODSC 2019: Sessionisation via stochastic periods for root event identification
 

More from Nicolas Maisonneuve

The territory of expertise: machine vs. human expert vs. group of amateurs.
The territory of expertise: machine vs. human expert vs. group of amateurs.The territory of expertise: machine vs. human expert vs. group of amateurs.
The territory of expertise: machine vs. human expert vs. group of amateurs.
Nicolas Maisonneuve
 
Crowdsourcing satellite imagery (Talk at Giscience2012)
Crowdsourcing satellite imagery (Talk at Giscience2012)Crowdsourcing satellite imagery (Talk at Giscience2012)
Crowdsourcing satellite imagery (Talk at Giscience2012)
Nicolas Maisonneuve
 
Mapping Visual Perceptions using Google Street View
Mapping Visual Perceptions using Google Street ViewMapping Visual Perceptions using Google Street View
Mapping Visual Perceptions using Google Street ViewNicolas Maisonneuve
 
NoiseTube: Participatory sensing for noise pollution via mobile phones
NoiseTube: Participatory sensing for noise pollution via mobile phonesNoiseTube: Participatory sensing for noise pollution via mobile phones
NoiseTube: Participatory sensing for noise pollution via mobile phones
Nicolas Maisonneuve
 
Environmental tagging
Environmental taggingEnvironmental tagging
Environmental tagging
Nicolas Maisonneuve
 
Social Attention Management in Online Community using Artificial Agents
Social Attention Management in Online Community using Artificial AgentsSocial Attention Management in Online Community using Artificial Agents
Social Attention Management in Online Community using Artificial Agents
Nicolas Maisonneuve
 
Nicolas Previous Works Meeting Turin Mai08
Nicolas Previous Works Meeting Turin Mai08Nicolas Previous Works Meeting Turin Mai08
Nicolas Previous Works Meeting Turin Mai08Nicolas Maisonneuve
 
Social Attention analysis
Social Attention analysisSocial Attention analysis
Social Attention analysis
Nicolas Maisonneuve
 
Orientation of the Community's attention and User alignment
Orientation of the Community's attention and User alignmentOrientation of the Community's attention and User alignment
Orientation of the Community's attention and User alignment
Nicolas Maisonneuve
 
An attention-based Ranking Model for social media
An attention-based Ranking Model for social mediaAn attention-based Ranking Model for social media
An attention-based Ranking Model for social media
Nicolas Maisonneuve
 
Observer service
Observer service Observer service
Observer service
Nicolas Maisonneuve
 
a dynamic web feed system
a dynamic web feed systema dynamic web feed system
a dynamic web feed system
Nicolas Maisonneuve
 

More from Nicolas Maisonneuve (14)

The territory of expertise: machine vs. human expert vs. group of amateurs.
The territory of expertise: machine vs. human expert vs. group of amateurs.The territory of expertise: machine vs. human expert vs. group of amateurs.
The territory of expertise: machine vs. human expert vs. group of amateurs.
 
Crowdsourcing satellite imagery (Talk at Giscience2012)
Crowdsourcing satellite imagery (Talk at Giscience2012)Crowdsourcing satellite imagery (Talk at Giscience2012)
Crowdsourcing satellite imagery (Talk at Giscience2012)
 
Mapping Visual Perceptions using Google Street View
Mapping Visual Perceptions using Google Street ViewMapping Visual Perceptions using Google Street View
Mapping Visual Perceptions using Google Street View
 
GeotagDamage@home
GeotagDamage@homeGeotagDamage@home
GeotagDamage@home
 
NoiseTube: Participatory sensing for noise pollution via mobile phones
NoiseTube: Participatory sensing for noise pollution via mobile phonesNoiseTube: Participatory sensing for noise pollution via mobile phones
NoiseTube: Participatory sensing for noise pollution via mobile phones
 
Environmental tagging
Environmental taggingEnvironmental tagging
Environmental tagging
 
Social Attention Management in Online Community using Artificial Agents
Social Attention Management in Online Community using Artificial AgentsSocial Attention Management in Online Community using Artificial Agents
Social Attention Management in Online Community using Artificial Agents
 
NoiseTube project
NoiseTube projectNoiseTube project
NoiseTube project
 
Nicolas Previous Works Meeting Turin Mai08
Nicolas Previous Works Meeting Turin Mai08Nicolas Previous Works Meeting Turin Mai08
Nicolas Previous Works Meeting Turin Mai08
 
Social Attention analysis
Social Attention analysisSocial Attention analysis
Social Attention analysis
 
Orientation of the Community's attention and User alignment
Orientation of the Community's attention and User alignmentOrientation of the Community's attention and User alignment
Orientation of the Community's attention and User alignment
 
An attention-based Ranking Model for social media
An attention-based Ranking Model for social mediaAn attention-based Ranking Model for social media
An attention-based Ranking Model for social media
 
Observer service
Observer service Observer service
Observer service
 
a dynamic web feed system
a dynamic web feed systema dynamic web feed system
a dynamic web feed system
 

Recently uploaded

Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
timhan337
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docxAcetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
kaushalkr1407
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
Model Attribute Check Company Auto Property
Model Attribute Check Company Auto PropertyModel Attribute Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Language Across the Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.Language Across the Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
Atul Kumar Singh
 

Recently uploaded (20)

Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docxAcetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docx
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
Model Attribute Check Company Auto Property
Model Attribute Check Company Auto PropertyModel Attribute Check Company Auto Property
Model Attribute Check Company Auto Property
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Language Across the Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.Language Across the Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
 

Team activity analysis / visualization

Editor's Notes

  1. A Summary of what we’ve done from the beginning of the research project, 6 month ago.