Data Mining

• Topics included: The data mining process, Basic data types, Data preparation, Feature extraction and portability, Data cleaning, Data reduction and transformation, Multidimensional data, Text and temporal and graph similarity measures, Frequent pattern mining, Association rule generation, Frequent itemset mining algorithms, Pattern summarization, Pattern querying, Representative-based clustering, Hierarchical clustering, Probabilistic model-based clustering, Outlier analysis, Data Classification, Decision trees, Support vector machines, Neural networks, Data stream mining, Text mining