Using Analytics to Explain the Presidential Debates

Anasse Bari, Mohamed Chaouchi,
News Article The Predictive Analytics Times,  October 2016

Predictive Analytics for Dummies, 2nd Edition

Anasse Bari, Mohamed Chaouchi, Tommy Jung
Book John Wiley & Sons | September 30, 2016 | ISBN-10: 978-1119267003

Flock by Leader: A Novel Machine Learning Biologically-Inspired Clustering Algorithm

Abdelghani Bellaachia, Anasse Bari
Journal & Conference  PaperAdvances in Swarm Intelligence, Springer, 2012

SIMPLE: Toolkit for Calibration and Simulation of Multi-sector Labor Search Model in Developing Countries

Pierella Paci, Catalina Gutierrez, Anasse Bari
Journal  Paper The World Bank Group, 2009

Enterprise Search Framework

Anasse Bari,
Journal  Paper The World Bank Group, 2016

Learning Data Mining with R Getting off the Ground with Powerful Programming

Anasse Bari, Mohamed Chaouchi, Tommy Jung
Book Chapter John Wiley & Sons | March 6, 2014 

Ten Qualities for Your Predictive Analytics Team, Watch for these skills when you select members

Anasse Bari, Mohamed Chaouchi, Tommy Jung
Book Chapter John Wiley & Sons | March 6, 2014 

In the Trenches of Predictive Analytics Overseeing planning at Your Organization

Anasse Bari, Mohamed Chaouchi, Tommy Jung
Book Chapter John Wiley & Sons | March 6, 2014 

SFLOSCAN: A Biologically Inspired Data Mining Framework for Community Identification in Dynamic Social Networks

Anasse Bari, Abdelghani Bellaachia
Conference Paper IEEE International Conference on Computational Intelligence, Paris, 2011

Predictive Analytics for Dummies (1st Edition)

Anasse Bari, Mohamed Chaouchi, Tommy Jung
Book John Wiley & Sons | March  6, 2014 | ISBN-10: 978-1118728963

A Flocking Based Data Mining Algorithm for Detecting Outliers in Cancer Gene Expression Microarray Data

Abdelghani Bellaachia, Anasse Bari
Conference Paper IEEE International Conference on Information Retrieval and Knowledge Management. Malaysia, 2012

Detecting Social Crowds in Online Social Networks Using a Novel Swarm Intelligence Approach

Anasse Bari, Abdelghani Bellaachia 
Conference Paper The International Conference on the Extraction and Management of Knowledge, 2012

Predictive Analytics and Its Relationship with Prognostic and Health Management of Machinery 

Anticipation of the needs for machinery maintenance and replacement is of great value to manufacturers of all types and many other businesses. Hence, the field of Prognostic and Health Management (PHM) developed over the past few decades . The PHM Society serves such Predictive Analytics (PA) has emerged in recent years [2,3], and has many similarities to PHM. The developed field of PHM and the newer field of PA share common methodologies and goals. The purpose of this study is to examine the similarities and differences between PHM of machinery and PA.
David Nagel, Anasse Bari
Conference  Session Predictive Analytics World Conference, 2015

Nature Inspired Predictive Analytics

Community Detection techniques are key in building predictive analytics model for social analytics, customer behavior analytics and fraud detection. Discovering a community in a social network is to detect a cluster of social members whose rate of interactions among those members is higher than of those outside of the social cluster. This talk will survey and highlight the present state of the art algorithms that are widely used in this space with a specific focus on biologically inspired techniques (Clustering Algorithms inspired from the natural bird flocking behavior - FlockbyLeader algorithm for community detection, and ant colonies for recommender systems) It is important to note that most of the major vendors of predictive analytics do not include biologically inspired algorithms in their suite of algorithms.
Mohamed Chaouchi,  Anasse Bari
Conference  Session Predictive Analytics World Conference, 2015

BIOIKDD: Biologically Inspired Knowledge Discovery       

Biologically inspired knowledge discovery techniques have recently received significant attention. It is one of the most important tools for complex systems and problems evaluation. They have been used in several research areas such as collaborative filtering, clustering, classification, and other areas of data mining. These techniques are depicted in nature of swarms of birds, fish, ants, and other land animals. In recent years, we observed there is a huge increase in the number of papers published in such area. The aim of the workshop is to highlight the current research related to biologically inspired knowledge discovery techniques in different data mining domains and their applications not limited to Social Networks Analysis, Text Mining, and Bioinformatics. 
Anasse Bari (co-chair), Abdelghani Bellaachia, Xiaohui Cui
Conference  Workshop Sessions The 12th International Conference Artificial Intelligence and Soft Computing, Zakopane, Poland