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Data Mining [Pehme köide]

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Teised raamatud teemal:
Teised raamatud teemal:
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

Muu info

Includes topics such as: Real-World Data Mining Applications, Web, Text, Clustering, and Multimedia Mining.
SESSION: REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, AND PERSPECTIVES
Mechanical Property Classification of Vapor-Grown Carbon Nanofiber/Vinyl Ester Nanocomposites Using Support Vector Machines
3(7)
Osama Abuomar
Sasan Nouranian
Roger King
Trenton Ricks
Thomas Lacy
APPES Maps as Tools for Quantifying Performance of Truck Drivers
10(7)
Iulian Carpatorea
Slawomir Nowaczyk
Thorsteinn Rognvaldsson
Marcus Elmer
Distributed Evolutionary Algorithm for Clustering Multi-Characteristic Social Networks
17(9)
Mustafa Hajeer
Dipankar Dasgupta
King-Ip Lin
Implementation of Artificial Neural Networks in Map Reduce Optimization
26(4)
Changlong Li
XueHai Zhou
Kun Lu
Chao Wang
Dong Dai
A New Effective Information Decomposition Approach for Missing Data Recovery
30(7)
Shigang Liu
Honghua Dai
Predicting Causes of Traffic Road Accidents Using Multi-class Support Vector Machines
37(6)
Elfadil Mohamed
Gold, Oil and the S&P 500 Index: Calm to Crisis and Back
43(6)
Mary Malliaris
A.G. Malliaris
Using Bootstrap Aggregated Neural Networks for Peripheral Nerve Injury Treatment
49(6)
Munish Shah
Wei Chang
Kathleen McGuire
William Koch
Yan Meng
Xiaojun Yu
The Significance of the Race Factor in Breast Cancer Prognosis
55(7)
M. Mehdi Owrang-Ojaboni
A Proposed Data Mining Model for the Associated Factors of Alzheimer's Disease
62(7)
Nevine Labib
Mohamed Badawy
Automated Statistical Data Mining of a Real World Landslide Detection System
69(10)
Divya Pullarkatt
Geethu Thottungal
Geethalekshmy V
Maneesha Vinodini Ramesh
SESSION: CLASSIFICATION, CLUSTERING, ASSOCIATION
Feature Selection by Tree Search of Correlation-Adjusted Class Distances
79(9)
Hassan Rabeti
Martin Burtscher
Multi-Level Synthesis of Frequent Rules from Different Databases Using a Clustering Approach
88(7)
Salim Khiat
HafiDa Belbachir
Sid Ahmed Rahal
Mammogram Classification Using Association Rule Mining
95(7)
Deepa Deshpande
Archana Rajurkar
Ramchandra Manthalkar
Feature Engineering for Supervised Link Prediction on Dynamic Social Networks
102(7)
Jeyanthi Narasimhan
Lawrence Holder
A Flexible Feature Selection Framework for Improving Breast Cancer Classification from Sparse Spectral Count Proteomic Data
109(7)
Lanfei Shi
Himanshu Grover
Jeya Balaji Balasubramanian
Kumar Kolli
Craig Shriver
Vanathi Gopalakrishnan
Optimization of an Individual Re-identification Modeling Process Using Biometric Features
116(5)
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
121(4)
Hyontai Sug
Douglas Dankel
Entropy Based Adaptive Outlier Detection Technique for Data Streams
125(10)
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
135(7)
Dinesh Batra
Gurpreet Bawa
Vivek Anand
Semi-automatic Metadata Extraction from Scientific Journal Article for Full-text XML Conversion
142(6)
Sukyoung Kim
Yoonsung Cho
Kihong Ahn
The Authorship of Audacity: Data Mining and Stylometric Analysis of Barack Obama Speeches
148(7)
Jonathan Herz
Abdelghani Bellaachia
Text Ctegorization using Topic Model and Ontology Networks
155(7)
Yinghao Huang
Xipeng Wang
Yi Murphey
Personalizing Query Refinement Based on Latent Tasks
162(7)
Chao Xu
Mingzhu Zhu
Yanchi Liu
Yi-Fang Wu
Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for Feature Selection
169(7)
Mingzhu Zhu
Chao Xu
Yi-Fang Wu
A Framework For Flexible Educational Data Mining
176(7)
Kyle DeFreitas
Margaret Bernard
SESSION: LATE BREAKING PAPERS AND POSITION PAPERS: DATA MINING
Author Attribution of Thomas Paine Work
183
Smiljana Petrovic
Gary Berton
Robert Schiaffino
Lubomir Ivanov
Identifying Outliers in Human Movement Trajectories Clustered By Hausdorff Distance
190(7)
Shibin Parameswaran
Jeffrey Ellen
Automatic Solar Cavity Detection Using Haar Cascade Classifier
197(7)
Aijuan Dong
Athena Johnson
George Dimitoglou
Joshua Shelley
Processing of Kuala Lumpur Stock Exchange Resident on Hadoop MapReduce
204(6)
Hui Kim Law
Saeed Aghabozorgi
Say Er Lim
Ying Wah Teh
Tutut Herawan
Generating Well-Behaved Learning Curves: An Empirical Study
210(4)
Gary Weiss
Alexander Battistin
Determination of Fake Reviews in Hospitality Sector
214
Manish Goswami
S. K. Gupta
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.