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
• 2) Sentimental Analysis on Turkish Blogs via Ensemble Classifier
• 3) Reliable Probabilistic Classification of Mammographic Masses Using Random Forests
• 4) Identifying Patterns and Anomalies in Delayed Neutron Monitor Data of Nuclear Power Plant
• 5) Alleviating the Class Imbalance Problem in Data Mining
• 6) Efficiency of Crop Yield Forecasting Depending on the Moment of Prediction based on Large Remote Sensing Data set
• 7) Neural Network Forecasting with the S&P 500 Index Across Decades
• 8) Data Uncertainty Handling in High Level Information Fusion
• 9) A Preliminary Approach to Study the Causality of Freezing of Gait for Parkinson's: Bayesian Belief Network Approach
• 10) Evaluation of Monte Carlo Subspace Clustering with OpenSubspace
• 11) MineTool-3DM2: An Algorithm for Data Mining of 3D Simulation Data
• 12) Actions Ontology System for Action Rules Discovery in Mammographic Mass Data
• 13) GDP Forecasting through Data Mining of Seaport Export-Import Records
• 14) Association Rule Mining for Finding Correlations Among People
• 15) Toward Sustainable High-Yield Agriculture via Intelligent Control Systems
• 16) Extending Local Similarity Indexes with KNN for Link Prediction
• 17) A New Simple Classification Algorithm enabling a New Approach for Identification of Virtual Bullying
• 18) Using Data Mining to Analyze Donation Data for a Local Food Bank
• 19) Flash Reactivity: Adaptative models in recommender systems
• 20) Analysis of Truck Compressor Failures Based on Logged Vehicle Data
• 21) Proposed Business Intelligence Models for Medical Risk Assessment Case study of Venous Thrombosis Disease in Egypt
• 22) Improve the Quality of Product Recommendation based on Multi-channel CRM for E-commerce
• 23) Using Recursive Sorting to Improve Accuracy of Memory-based Collaborative Filtering Recommendations
• Session: Segmentation, Clustering, Association + Web / Text / Multimedia Mining
• 1) Mining for Hydrologic Features in LiDAR Data
• 2) Role of Social Media in Early Warning of Norovirus Outbreaks: A Longitudinal Twitter-Based Infoveillance
• 3) Spatial-Temporal Clustering of a Self-Organizing Map
• 4) An Evolutionary Associative Contrast Rule Mining Method for Incomplete Database
• 5) Hierarchical Video Indexing And Retrieval System
• 6) A Novel Query Suggestion Method Based On Sequence Similarity and Transition Probability
• Session: Regression and Classification
• 1) A Multi-scale Nonparametric/Parametric Hybrid Recognition Strategy with Multi-category Posterior Probability Estimation
• 2) SVM-Based Approaches for Predictive Modeling of Survival Data
• 3) Large Scale Visual Classification with Parallel, Imbalanced Bagging of Incremental LIBLINEAR SVM
• 4) Gaussian Process Regression with Dynamic Active Set and Its Application to Anomaly Detection
• 5) A Study of kNN using ICU Multivariate Time Series Data
• 6) Genetic Algorithms and Classification Trees in Feature Discovery: Diabetes and the NHANES database
• Session: Filtering, Feature Selection, Integration, Ensembles
• 1) Isolating Matrix Sparsity in Collaborative Filtering Ratings Matrices
• 2) A Novel Randomized Feature Selection Algorithm
• 3) Fraud Detection Using Reputation Features, SVMs, and Random Forests
• 4) A Novel Ensemble Selection Technique for Weak Classifiers
• 5) Labeled Subgraph Matching Using Degree Filtering
• 6) Social Network Anonymization and Influence Preservation