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Advances in Data Mining: Applications and Theoretical Aspects: 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings 2013 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 281 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 73 Illustrations, black and white; X, 281 p. 73 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7987
  • Ilmumisaeg: 11-Jul-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642397352
  • ISBN-13: 9783642397356
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  • Formaat: Paperback / softback, 281 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 73 Illustrations, black and white; X, 281 p. 73 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7987
  • Ilmumisaeg: 11-Jul-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642397352
  • ISBN-13: 9783642397356
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.
Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences
1(10)
Heng Chen
Yi Jin
Yan Zhao
Yongjuan Zhang
Chengcai Chen
Jilin Sun
Shen Zhang
An Automated Search Space Reduction Methodology for Large Databases
11(14)
Angel Fernando Kuri-Morales
Towards a High Productivity Automatic Analysis Framework for Classification: An Initial Study
25(15)
Thomas Ludescher
Thomas Feilhauer
Anton Amann
Peter Brezany
Extending Statistical Models for Batch-End Quality Prediction to Batch Control
40(15)
Geert Gins
Jef Vanlaer
Pieter Van den Kerkhof
Jan F.M. Van Impe
Pattern-Based Solution Risk Model for Strategic IT Outsourcing
55(15)
Robert Gwadera
Mining Semantic Relationships between Concepts across Documents Incorporating Wikipedia Knowledge
70(15)
Peng Yan
Wei Jin
Estimating Risk Management in Software Engineering Projects
85(14)
Jaime Santos
Orlando Belo
Wastewater Treatment Plant Performance Prediction with Support Vector Machines
99(13)
Daniel Ribeiro
Antonio Sanfins
Orlando Belo
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework
112(15)
Wissam Sammouri
Etienne Come
Latifa Oukhellou
Patrice Aknin
Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis
127(10)
Serhat Guden
Umman Tugba Gursoy
A Study on Multi-label Classification
137(14)
Clifford A. Tawiah
Victor S. Sheng
Robust Feature Selection for SVMs under Uncertain Data
151(15)
Hoai An Le Thi
Xuan Thanh Vo
Tao Pham Dinh
A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction
166(15)
Emadoddin Livani
Raymond Nguyen
Jorg Denzinger
Gunther Ruhe
Scott Banack
BiETopti-BiClustering Ensemble Using Optimization Techniques
181(12)
Geeta Aggarwal
Neelima Gupta
Multiple Buying Behavior as an Indicator of Brand Loyalty: An Association Rule Application
193(12)
Diren Bulut
Umman Tugba Gursoy
Kemal Kurtulus
Matching Semi-structured Documents Using Similarity of Regions through Fuzzy Rule-Based System
205(13)
Alireza Ensan
Yevgen Biletskiy
Data Mining Application for Cyber Credit-Card Fraud Detection System
218(11)
John Akhilomen
Feature Representation for Customer Attrition Risk Prediction in Retail Banking
229(10)
Yanbo J. Wang
Gang Di
Junxuan Yu
Juan Lei
Frans Coenen
An Evolutionary Method for Associative Local Distribution Rule Mining
239(15)
Kaoru Shimada
Takashi Hanioka
Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients
254(12)
Ana Aguilera
Alberto Subero
Ramon Mata-Toledo
Configurations and Couplings: An Exploratory Study
266(15)
Warwick Graco
Hari Koesmarno
Author Index 281