Data Mining

Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Hamid R. Arabnia (Herausgeber)

Buch | Softcover

240 Seiten

2015
C. S. R. E. A. (Verlag)
978-1-60132-267-8 (ISBN)

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A compendium of articles and papers presented at DMIN ’14. Selected topics include Real-World Data Mining Applications, Challenges, and Perspectives; Classification, Clustering, Association; Web, Text, Multimedia Mining; Late Breaking Papers and Position Papers: Data Mining.

Data Mining is a compendium of articles and papers that were presented at DMIN '14, an international conference that serves researchers, scholars, professionals, students, and academicians.

Selected topics include:

Real-World Data Mining Applications, Challenges, and Perspectives
Classification, Clustering, Association
Web, Text, Multimedia Mining
Late Breaking Papers and Position Papers: Data Mining

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.

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
2) APPES Maps as Tools for Quantifying Performance of Truck Drivers
3) Distributed Evolutionary Algorithm for Clustering Multi-Characteristic Social Networks
4) Implementation of Artificial Neural Networks in MapReduce Optimization
5) A New Effective Information Decomposition Approach for Missing Data Recovery
6) Predicting Causes of Traffic Road Accidents Using Multi-class Support Vector Machines
7) Gold, Oil and the S&P 500 Index: Calm to Crisis and Back
8) Using Bootstrap Aggregated Neural Networks for Peripheral Nerve Injury Treatment
9) The Significance of the Race Factor in Breast Cancer Prognosis
10) A Proposed Data Mining Model for the Associated Factors of Alzheimer's Disease
11) Automated Statistical Data Mining of a Real World Landslide Detection System
Session: Classification, Clustering, Association
1) Feature Selection by Tree Search of Correlation-Adjusted Class Distancesli>
2) Multi-Level Synthesis of Frequent Rules from Different Databases Using a Clustering Approachli>
3) Mammogram Classification Using Association Rule Mining
4) Feature Engineering for Supervised Link Prediction on Dynamic Social Networks
5) A Flexible Feature Selection Framework for Improving Breast Cancer Classification from Sparse Spectral Count Proteomic Data
6) Optimization of an Individual Re-identification Modeling Process Using Biometric Features
7) More Reliable Over-sampled Synthetic Data Instances by Using Artificial Neural Networks for a Minority Class
8) Entropy Based Adaptive Outlier Detection Technique for Data Streams
Session: Web, Text, Multimedia Mining
1) Sub-Net Identification for Text Refinement and Text Meaning Discovery in Social Media Analytics
2) Semi-automatic Metadata Extraction from Scientific Journal Article for Full-text XML Conversion
3) The Authorship of Audacity: Data Mining and Stylometric Analysis of Barack Obama Speeches
4) Text Ctegorization using Topic Model and Ontology Networks
5) Personalizing Query Refinement Based on Latent Tasks
6) Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for Feature Selection
7) A Framework For Flexible Educational Data Mining
Session: Late Breaking Papers and Position Papers: Data Mining
1) Author Attribution of Thomas Paine Work
2) Identifying Outliers in Human Movement Trajectories Clustered By Hausdorff Distance
3) Automatic Solar Cavity Detection Using Haar Cascade Classifier
4) Processing of Kuala Lumpur Stock Exchange Resident on Hadoop MapReduce
5) Generating Well-Behaved Learning Curves: An Empirical Study
6) Determination of Fake Reviews in Hospitality Sector

Erscheint lt. Verlag	4.2.2015
Reihe/Serie	The 2014 WorldComp International Conference Proceedings
Verlagsort	Bogart
Sprache	englisch
Maße	203 x 279 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Office Programme ► Outlook
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Naturwissenschaften ► Biologie
	Wirtschaft ► Betriebswirtschaft / Management
ISBN-10	1-60132-267-4 / 1601322674
ISBN-13	978-1-60132-267-8 / 9781601322678
Zustand	Neuware