DATA MINING: Proceedings of the 2014 International Conference on Data Mining (World Comp '14 Conference Proceedings)

DMIN'14 is part of WORLDCOMP'14. DMIN'14 is an international conference for academics and practitioners held simultaneously with other joint conferences as part of WORLDCOMP'14.

Selected:
REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, AND
PERSPECTIVES
-Mechanical Property Classification of Vapor-Grown Carbon Nanofiber/Vinyl
-Osama Abuomar, Sasan Nouranian, Roger King, Trenton Ricks, Thomas Lacy

Distributed Evolutionary Algorithm for Clustering Multi-Characteristic Social Networks
Mustafa Hajeer, Dipankar Dasgupta, King-Ip Lin

Implementation of Artificial Neural Networks in MapReduce Optimization
Changlong Li, XueHai Zhou, Kun Lu, Chao Wang, Dong Dai

A New Effective Information Decomposition Approach for Missing Data Recovery
Shigang Liu, Honghua Dai

Gold, Oil and the S&P 500 Index: Calm to Crisis and Back
Mary Malliaris, A.G. Malliaris

Using Bootstrap Aggregated Neural Networks for Peripheral Nerve Injury Treatment
Munish Shah, Wei Chang, Kathleen McGuire, William Koch, Yan Meng, Xiaojun Yu

The Significance of the Race Factor in Breast Cancer Prognosis
M. Mehdi Owrang-Ojaboni

A Proposed Data Mining Model for the Associated Factors of Alzheimer's Disease
Nevine Labib, Mohamed Badawy

Automated Statistical Data Mining of a Real World Landslide Detection System
Divya Pullarkatt, Geethu Thottungal, Geethalekshmy V, Maneesha Vinodini Ramesh
CLASSIFICATION, CLUSTERING, ASSOCIATION
Feature Selection by Tree Search of Correlation-Adjusted Class Distances
Hassan Rabeti, Martin Burtscher

Multi-Level Synthesis of Frequent Rules from Different Databases Using a Clustering
Approach
Salim Khiat, HafiDa Belbachir, Sid Ahmed Rahal

Mammogram Classification Using Association Rule Mining
Deepa Deshpande, Archana Rajurkar, Ramchandra Manthalkar

Feature Engineering for Supervised Link Prediction on Dynamic Social Networks
Jeyanthi Narasimhan, Lawrence Holder

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

Optimization of an Individual Re-identification Modeling Process Using Biometric Features
Alejandro Heredia-Langner, Brett Amidan, Shari Matzner, Kristin Jarman

More Reliable Over-sampled Synthetic Data Instances by Using Artificial Neural Networks for a Minority Class
Hyontai Sug, Douglas Dankel

Entropy Based Adaptive Outlier Detection Technique for Data Streams
Yogita Thakran, Durga Toshniwal, Bhavani Kumar Eshwar

SESSION: WEB, TEXT, MULTIMEDIA MINING
Sub-Net Identification for Text Refinement and Text Meaning Discovery in Social Media Analytics
Dinesh Batra, Gurpreet Bawa, Vivek Anand

Semi-automatic Metadata Extraction from Scientific Journal Article for Full-text XML
Conversion
Sukyoung Kim, Yoonsung Cho, Kihong Ahn

The Authorship of Audacity: Data Mining and Stylometric Analysis of Barack Obama Speeches
Jonathan Herz, Abdelghani Bellaachia

Text Ctegorization using Topic Model and Ontology Networks
Yinghao Huang, Xipeng Wang, Yi Murphey

Personalizing Query Refinement Based on Latent Tasks
Chao Xu, Mingzhu Zhu, Yanchi Liu, Yi-Fang Wu

Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for
Feature Selection
Mingzhu Zhu, Chao Xu, Yi-Fang Wu

A Framework For Flexible Educational Data Mining
Kyle DeFreitas, Margaret Bernard

SESSION: LATE BREAKING PAPERS AND POSITION PAPERS: DATA
MINING

Author Attribution of Thomas Paine Work
Smiljana Petrovic, Gary Berton, Robert Schiaffino, Lubomir Ivanov

Identifying Outliers in Human Movement Trajectories Clustered By Hausdorff Distance Shibin Parameswaran, Jeffrey Ellen