THE WORLD CONGRESS IN COMPUTER SCIENCE, COMPUTER ENGINEERING,
AND APPLIED COMPUTING

  • Title Subjects
  • Data
Paperback
May 2015
9781601322395
More details
  • Publisher
    CSREA
  • Published
    1st May 2015
  • ISBN 9781601322395
  • Language English
  • Pages 264 pp.
  • Size 8" x 11"
$39.95

Data Mining is a compendium of articles and papers that were presented at DMIN '13, an international conference that serves researchers, scholars, professionals, students, and academicians.

Selected topics include:

* Real-World Data Mining Applications, Challenges, and Perspectives
* Segmentation, Clustering, Association + Web / Text / Multimedia Mining
* Regression And Classification
* Filtering, Feature Selection, Integration, Ensembles

SESSION: REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, AND PERSPECTIVES
1) Maintenance Knowledge Management with Fusion of CMMS and CM—Sten-Erik Bjorling, Diego Galar, David Baglee, Sarbjeet Singh, Uday Kumar
2) Sentimental Analysis on Turkish Blogs via Ensemble Classifier—Sadi Evren Seker, Khaled Al -Naami
3) Reliable Probabilistic Classification of Mammographic Masses Using Random Forests—Hechmi Shili, Lotfi Ben Romdhane, Bechir El Ayeb
4) Identifying Patterns and Anomalies in Delayed Neutron Monitor Data of Nuclear Power Plant—Durga Toshniwal, Aditya Gupta, Pramod Gupta, Vikas Khurana, Pushp Upadhyay
5) Alleviating the Class Imbalance Problem in Data Mining—Akkenzhe Sarmanova, Songul Albayrak
6) Efficiency of Crop Yield Forecasting Depending on the Moment of Prediction based on Large Remote Sensing Data set—Alexander Murynin, Konstantin Gorokhovskiy, Vladimir Ignatiev
7) Neural Network Forecasting with the S&P 500 Index Across Decades—Mary Malliaris, Anastasios G. Malliaris
8) Data Uncertainty Handling in High Level Information Fusion—Robert Woodley, Michael Gosnell, Amber Fischer
9) A Preliminary Approach to Study the Causality of Freezing of Gait for Parkinson's: Bayesian Belief Network Approach—Ali Saad, Abass Zeineldine, Iyad Zaarour, Mohammad Ayache, Dimitri Lefebvre, Francois Guerin, Paul Bejjani
10) Evaluation of Monte Carlo Subspace Clustering with OpenSubspace—David Hunn, Clark Olson
11) MineTool-3DM2: An Algorithm for Data Mining of 3D Simulation Data—Tamara Sipes, Homa Karimabadi
12) Actions Ontology System for Action Rules Discovery in Mammographic Mass Data—Angelina A. Tzacheva, Erik A. Koenig, Justin R. Pardue
13) GDP Forecasting through Data Mining of Seaport Export-Import Records—H. Raymond Joseph
14) Association Rule Mining for Finding Correlations Among People—Valmik Nikam, Nimai Buch, Yash Botadra, B.B. Meshram
15) Toward Sustainable High-Yield Agriculture via Intelligent Control Systems—Brian McLaughlan, James Brandli
16) Extending Local Similarity Indexes with KNN for Link Prediction—Greg Speegle, Yilan Bai, Young-Rae Cho
17) A New Simple Classification Algorithm enabling a New Approach for Identification of Virtual Bullying—K Burn-Thornton, T Burman
18) Using Data Mining to Analyze Donation Data for a Local Food Bank—Steven Jiang, Lauren Davis, Henrique Tavares De Mleo, Jessica Terry
19) Flash Reactivity: Adaptative models in recommender systems—Julien Gaillard, Marc El-Beze, Eitan Altman, Emmanuel Ethis
20) Analysis of Truck Compressor Failures Based on Logged Vehicle Data—Rune Prytz, Slawomir Nowaczyk, Thorsteinn Rognvaldsson, Stefan Byttner
21) Proposed Business Intelligence Models for Medical Risk Assessment Case study of Venous Thrombosis Disease in Egypt—Edward Wadid, Nevine Makram Labib, Sayed Abdel Wahab
22) Improve the Quality of Product Recommendation based on Multi-channel CRM for E-commerce—Chuen-He Liou
23) Using Recursive Sorting to Improve Accuracy of Memory-based Collaborative Filtering Recommendations—Serhiy Morozov, Hossein Saiedian

SESSION: SEGMENTATION, CLUSTERING, ASSOCIATION + WEB / TEXT / MULTIMEDIA MINING
1) Mining for Hydrologic Features in LiDAR Data—Rebecca Reizner, Eric Shaffer, Brianna Birman
2) Role of Social Media in Early Warning of Norovirus Outbreaks: A Longitudinal Twitter-Based Infoveillance—Ahmed YoussefAgha, Wasantha Jayawardene, David Lohrmann
3) Spatial-Temporal Clustering of a Self-Organizing Map—Carlos Enrique Gutierrez, Mohammad Reza Alsharif, Katsumi Yamashita, Rafael Villa, Cuiwei He, Hayao Miyagi
4) An Evolutionary Associative Contrast Rule Mining Method for Incomplete Database—Kaoru Shimada, Takashi Hanioka
5) Hierarchical Video Indexing And Retrieval System—Mohammed Yassine Kazi Tani, Abdelghani Ghomari, Lamia Dali Youcef
6) A Novel Query Suggestion Method Based On Sequence Similarity and Transition Probability—Bo Shu, Zhendong Niu, Xiaotian Jiang, Ghulam Mustafa

SESSION: REGRESSION AND CLASSIFICATION
1) A Multi-scale Nonparametric/Parametric Hybrid Recognition Strategy with Multi-category Posterior Probability Estimation—Zhao Lu, Zheng Lu, Haoda Fu
2) SVM-Based Approaches for Predictive Modeling of Survival Data—Han-Tai Shiao, Vladimir Cherkassky
3) Large Scale Visual Classification with Parallel, Imbalanced Bagging of Incremental LIBLINEAR SVM—Thanh-Nghi Doan, Thanh-Nghi Do, Francois Poulet
4) Gaussian Process Regression with Dynamic Active Set and Its Application to Anomaly Detection—Toshikazu Wada, Yuki Matsumura, Shunji Maeda, Hisae Shibuya
5) A Study of kNN using ICU Multivariate Time Series Data—Dan Li, Admir Djulovic, Jianfeng Xu
6) Genetic Algorithms and Classification Trees in Feature Discovery: Diabetes and the NHANES database—Alejandro Heredia-Langner, Kristin Jarman, Brett Amidan, Joel Pounds

SESSION: FILTERING, FEATURE SELECTION, INTEGRATION, ENSEMBLES
1) Isolating Matrix Sparsity in Collaborative Filtering Ratings Matrices—Brian Pechkis, Eun-Joo Lee
2) A Novel Randomized Feature Selection Algorithm—Subrata Saha, Rampi Ramprasad, Sanguthevar Rajasekaran
3) Fraud Detection Using Reputation Features, SVMs, and Random Forests—Dave DeBarr, Harry Wechsler
4) A Novel Ensemble Selection Technique for Weak Classifiers—Kung-Hua Chang, D. Stott Parker
5) Labeled Subgraph Matching Using Degree Filtering—Lixin Fu, Surya Kommireddy
6) Social Network Anonymization and Influence Preservation—Alina Campan, Yasmeen Alufaisan

Robert Stahlbock

No information

Gary M. Weiss

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Mahmoud Abou-Nasr

Mahmoud Abou-Nasr

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.