Data Mining - Artificial neural networks; Bayesian networks; Heuristic methods; Case-based reasoning; Computational models of human learning (Cooperative learning, Unsupervised learning); Optimization methods; Decision and induction methods; Evolutionary computation; Grammatical inference; Incremental and on-line learning; Information retrieval and learning; Knowledge acquisition and learning; Data pre - and post-processing; Data visualization; Statistical pattern recognition and analysis; Bootstrap and randomization; Causal modeling; Decision analysis; Exploratory data analysis; Knowledge-based analysis; Classification, projection, regression, optimization clustering; Data cleaning; Model specification, selection, estimation; Reasoning under uncertainty; Uncertainty and noise in data; Spatial Analysis; Space-Time Analysis; Discrete Events Analysis, Network Analysis; Time series forecasting и т.д.
Text Mining - Bayesian Models, Concept Decomposition, Orthogonal Decomposition, Probabilistic Models, Vector Space Models, Latent Semantic Indexing, Graph-based Models, Text Streaming Models, Clustering, Factor Analysis, Visualization Techniques, Metadata Generation, Information Extraction, Text Classification, Text Purification, Text Segmentation, Text Summarization, Query Structures, Trend Detection, Distributed Storage and Retrieval.
Взято по ссылке:
http://www.isras.ru/index.php?page_id=988 Там вообще много интересного широкими мазками прорисовано
По хорошему грех каротажу и петрофизике (начинавших игры с распознованием) отставать от вполне гуманитарных дисциплин
И не только по анализу данных, но и по анализу текстов