Contents: Message from the Conference Co-Chairs; Preface; SDM 2008 Conference Organization; Program Committee; External Reviewers; Semi-Supervised Clustering via Matrix Factorization; Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy; Constrained Co-clustering of Gene Expression Data; DATA PEELER: Constraint-Based Closed Pattern Mining in n-ary Relations; SpaRClus: Spatial Relationship Pattern-Based Hierarchial Clustering; Mining Tree Patterns with Almost Smallest Supertrees; Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications; CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining; Mining Association Rules of Simple Conjunctive Queries; Discovering Relational Item Sets Efficently; A Stagewise Lease Square Loss Function for Classification; Semi-Supervised Learning Based on Semiparametric Regularization; Roughly Balanced Bagging for Imbalanced Data; An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks; Aerosol Optical Depth Prediction from Satellite Observations by Multiple Instance Regression; Feature Selection with the logRatio Kernel; A RELIEF Based Feature Extraction Algorithm; Deterministic Latent Variable Models and Their Pitfalls; Massive-Scale Kernel Discriminant Analysis: Mining for Quasars; Dynamic Non-Parametric Mixture Models and Recurrent Chinese Restaurant Process: With Applications to Evolutionary Clustering; Latent Variable Mining with Its Applications to Anomalous Behavior Detection; Similarity Measures for Categorical Data: A Comparative Evaluation; Gaussian Process Learning for Cyber-Attack Early Warning; Practical Private Computation and Zero-Knowledge Tools for Privacy-Perserving Distributed Data Mining; A Spamicity Approach to Web Spam Detection; Semantic Smoothing for Bayesian Text Classification with Small Training Data; Clustering from Constraint Graphs; Efficient