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9:00am - |
Opening Address by Workshop Co-Chairs |
| 9:05am - 9:35am |
Keynote Speech Mining Patterns in Social Media - A New Frontierby Prof Huan Liu |
| 9:35am - 10:00am |
Session I (1) – Ubiquitous Intelligence Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification by JuiHsi Fu and SingLing Lee |
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10:00am- |
Coffee break |
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10:30am- |
Session I (2) – Ubiquitous Intelligence Automatic Training Data Cleaning for Text Classification by Hassan Malik and Vikas Bhardwaj
FAARM: Frequent association action rules mining using FP-Tree by Djellel Difallah, Ryan Benton, Tom Johnsten and Vijay Raghavan
Novel Knowledge-Based Twin Support Vector Machines by YingJie Tian and XuChan Ju
Agent Assignment for Process Management: Competency-driven Dynamic Resource Management Methodology by Ramzan Talib, Bernhard Volz and Stefan Jablonski
Domain-specific adaptation of a partial least squares regression model for loan defaults prediction by Balaji Vasan Srinivasan, Nathan Gnanasambandam, Shi Zhao and Raj Minhas |
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12:30pm- |
Lunch break |
| 2:00pm - 2:30pm |
Keynote Speech Towards Context Aware On-demand Data Miningby Prof Jian Pei |
| 2:30pm - 4:00pm |
Session II: Mining Complex Data and Applications CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability by Fabrice Guillet, Thomas Piton and Julien Blanchard
Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators by Saima Aman, Yogesh Simmhan, Viktor Prasanna Revealing cluster formation over huge volatile robotic data by Nikos Mitsou, Irene Ntoutsi, Dirk Wollherr, Costas Tzafestas and Hans-Peter Kriegel Automatic Cleaning and Linking of historical Census Data Using Household Information by Zhichun Fu, Peter Christen and Mac Boot |
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4:00pm – 4:30pm |
Coffee break |
| 4:30pm - 5:40pm |
Session III: Domain-specific Applications Mining Infrequent Causal Associations in Electronic Health Databases by Yanqing Ji, Hao Ying, John Tran, Peter Dews, Ayman Mansour, Richard Miller and Michael Massanari
Semi-supervised Failure Prediction for Oil Production Wells by Yintao Liu and Ke-Thia Yao
Domain Driven Data Mining in Human Resource Management - A Review by Franca Piazza and Stefan Strohmeier |
| 5:40pm - 6:00pm |
Closing remarks by Workshop Co-chairs |
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by Workshop Co-Chairs |
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9:05am - |
Keynote Speech Highly Efficient Predictive Feature Vector Mining from Raw Data |
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9:35am - |
Feature Talk Actionable Knowledge Discovery and Transfer |
|
10:00am -10:20am |
Coffee break |
|
10:20am - |
Session I – Involving Ubiquitous Intelligence Using Taxonomies to Perform Aggregated Querying over Imprecise Data by Atanu Roy, Chandrima Sarkar, and Rafal Angryk
Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs) by Kyong Jin Shim and Jaideep Srivastava
Network anomaly detection using a commute distance based approach by Khoa Nguyen, Tahereh Babaie, Sanjay Chawla, and Zainab Zaidi Link Prediction Across Multiple Social Networks by Muhammad Ahmad and Jaideep Srivastava Controlling consistency in Top-N Recommender Systems by Paolo Cremonesi and Roberto Turrin Agent Assignment for Process Management: Agent Performance Evaluation Framework by Muhammad Ramzan Talib, Bernhard Volz, and Stefan Jablonski |
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12:20pm-1:30pm |
Lunch break |
|
1:30pm-2:00pm |
Keynote Speech Interestingness in the Real World: Two Case Studies |
|
2:00pm - |
Session II: Mining Complex Data and Applications Learning with Actionable Attributes: Attention – Boundary Cases! by Indre Zliobaite and Mykola Pechenizkiy
The Effectiveness of A New Negative Correlation Learning Algorithm for Classification Ensembles by Shuo Wang and Xin Yao
Contextual Sequential Pattern Mining by Julien Rabatel, Sandra Bringay, and Pascal Poncelet Mining Textual Data Streams with Intra-Chunk Concept Drifting by Bo Liu, Yanshan Xiao, Longbing Cao, and Philip Yu Evaluating Association Rules by Quantitative Pairwise Property Comparisons by Elnaz Delpisheh and John Zhang |
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3:30pm – 4:00pm |
Coffee break |
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4:00pm - |
Session III: Domain-specific Applications Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly by Bogdan Pogorelc and Matjaz Gams
Insights from Applying Sequential Pattern Mining to E-Commerce Click Stream Data by Arthur Pitman and Markus Zanker
Domain-driven Data Mining for IT Infrastructure Support by Girish Palshikar, Harrick Vin, Mohammed Mudassar, and Maitreya Natu
Trading Tests of Long-Term Market Forecast by Text Mining By Kiyoshi Izumi, Takashi Goto, and Tohgoroh Matsui |
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5:40pm - |
Closing remarks by Workshop Co-chairs |
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6:15pm – 7:15 pm |
Business Analytics Forum |
