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The following topics are dealt with: pattern discovery; sparse graph mining; semisupervised feature importance evaluation; correlation clustering; support vector machine; unordered tree mining; unsupervised feature selection; directed graph; pattern mining; product classification; Markov logic network learning; recommendation system; Twitter; probabilistic modeling; hierarchical sparse representation; social network data; text categorization; stochastic Kronecker graph; Web-based partial order ranking; recursive multistep time series forecasting; document clustering; Bayesian network learning algorithm; missing data recovery; entropy-based graph clustering; context-aware multiinstance learning; and graph based online store review.