Data Mining

SESSION: REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, AND PERSPECTIVES
1) Mechanical Property Classification of Vapor-Grown Carbon Nanofiber/Vinyl Ester Nanocomposites Using Support Vector Machines—Osama Abuomar, Sasan Nouranian, Roger King, Trenton Ricks, Thomas Lacy
2) APPES Maps as Tools for Quantifying Performance of Truck Drivers—Iulian Carpatorea, Slawomir Nowaczyk, Thorsteinn Rognvaldsson, Marcus Elmer
3) Distributed Evolutionary Algorithm for Clustering Multi-Characteristic Social Networks—Mustafa Hajeer, Dipankar Dasgupta, King-Ip Lin
4) Implementation of Artificial Neural Networks in MapReduce Optimization—Changlong Li, XueHai Zhou, Kun Lu, Chao Wang, Dong Dai
5) A New Effective Information Decomposition Approach for Missing Data Recovery—Shigang Liu, Honghua Dai
6) Predicting Causes of Traffic Road Accidents Using Multi-class Support Vector Machines—Elfadil Mohamed
7) Gold, Oil and the S&P 500 Index: Calm to Crisis and Back—Mary Malliaris, A.G. Malliaris
8) Using Bootstrap Aggregated Neural Networks for Peripheral Nerve Injury Treatment—Munish Shah, Wei Chang, Kathleen McGuire, William Koch, Yan Meng, Xiaojun Yu
9) The Significance of the Race Factor in Breast Cancer Prognosis—M. Mehdi Owrang-Ojaboni
10) A Proposed Data Mining Model for the Associated Factors of Alzheimer'.s Disease—Nevine Labib, Mohamed Badawy
11) Automated Statistical Data Mining of a Real World Landslide Detection System—Divya Pullarkatt, Geethu Thottungal, Geethalekshmy V, Maneesha Vinodini Ramesh

SESSION: CLASSIFICATION, CLUSTERING, ASSOCIATION
1) Feature Selection by Tree Search of Correlation-Adjusted Class Distances—Hassan Rabeti, Martin Burtscher
2) Multi-Level Synthesis of Frequent Rules from Different Databases Using a Clustering Approach—Salim Khiat, HafiDa Belbachir, Sid Ahmed Rahal
3) Mammogram Classification Using Association Rule Mining—Deepa Deshpande, Archana Rajurkar, Ramchandra Manthalkar
4) Feature Engineering for Supervised Link Prediction on Dynamic Social Networks—Jeyanthi Narasimhan, Lawrence Holder
5) A Flexible Feature Selection Framework for Improving Breast Cancer Classification from Sparse Spectral Count Proteomic Data—Lanfei Shi, Himanshu Grover, Jeya Balaji Balasubramanian, Kumar Kolli, Craig Shriver, Vanathi Gopalakrishnan
6) Optimization of an Individual Re-identification Modeling Process Using Biometric Features—Alejandro Heredia-Langner, Brett Amidan, Shari Matzner, Kristin Jarman
7) More Reliable Over-sampled Synthetic Data Instances by Using Artificial Neural Networks for a Minority Class—Hyontai Sug, Douglas Dankel
8) Entropy Based Adaptive Outlier Detection Technique for Data Streams—Yogita Thakran, Durga Toshniwal, Bhavani Kumar Eshwar

SESSION: WEB, TEXT, MULTIMEDIA MINING
1) Sub-Net Identification for Text Refinement and Text Meaning Discovery in Social Media Analytics—Dinesh Batra, Gurpreet Bawa, Vivek Anand
2) Semi-automatic Metadata Extraction from Scientific Journal Article for Full-text XML Conversion—Sukyoung Kim, Yoonsung Cho, Kihong Ahn
3) The Authorship of Audacity: Data Mining and Stylometric Analysis of Barack Obama Speeches—Jonathan Herz, Abdelghani Bellaachia
4) Text Ctegorization using Topic Model and Ontology Networks—Yinghao Huang, Xipeng Wang, Yi Murphey
5) Personalizing Query Refinement Based on Latent Tasks—Chao Xu, Mingzhu Zhu, Yanchi Liu, Yi-Fang Wu
6) Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for Feature Selection—Mingzhu Zhu, Chao Xu, Yi-Fang Wu
7) A Framework For Flexible Educational Data Mining—Kyle DeFreitas, Margaret Bernard

SESSION: LATE BREAKING PAPERS AND POSITION PAPERS: DATA MINING
1) Author Attribution of Thomas Paine Work—Smiljana Petrovic, Gary Berton, Robert Schiaffino, Lubomir Ivanov
2) Identifying Outliers in Human Movement Trajectories Clustered By Hausdorff Distance—Shibin Parameswaran, Jeffrey Ellen
3) Automatic Solar Cavity Detection Using Haar Cascade Classifier—Aijuan Dong, Athena Johnson, George Dimitoglou, Joshua Shelley
4) Processing of Kuala Lumpur Stock Exchange Resident on Hadoop MapReduce—Hui Kim Law, Saeed Aghabozorgi, Say Er Lim, Ying Wah Teh , Tutut Herawan
5) Generating Well-Behaved Learning Curves: An Empirical Study—Gary Weiss, Alexander Battistin
6) Determination of Fake Reviews in Hospitality Sector—Manish Goswami, S K Gupta

Robert Stahlbock

No information

Gary M. Weiss

No information

Mahmoud Abou-Nasr

No information

Hamid R. Arabnia

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.

Purchase by the Chapter