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B.Tech. IT 7th Sem Subject: Data Mining & Data Warehousing
UNIT - 1 Data ware Housing What is a data warehouse?, Multidimensional data model, OLAP operation, warehouse schema, data ware housing architecture, warehouse serve, metadata, OLAP, engine, Data warehousing backend process, other features.
Data Mining: what is data mining?, KDD Vs. data mining, DBMS Vs DM other related areas, DM techniques, other mining problem, issues & challenges in DM, Dm application areas.
UNIT - 2 Association Rules Methods to discover association rules, apriori algorithm, partition algorithm, pincer search algorithm, Dynamic Item set counting algorithm, FP-tree Growth algorithm, Incremental algorithm, Border algorithm, hierarchical association rule, generalized association rules, Association rules with item constraints.
UNIT - 3 Clustering Techniques Introduction, clustering paradigms, partitioning algorithms, k-Medoid Algorithm, CLARA, CLARANS, Hierarchical clustering, DBSCAN, BIRCH, CURE, Categorical clustering algorithms, STIRR, ROCK, CACTUS.
UNIT - 4 Decision Trees Tree construction principal, Best spilt splitting indices, splitting criteria, Decision tree construction algorithm, CART, ID3, C4.5, CHAID, Decision tree construction with pre-sorting, rainforest, approximate method, CLOUDS, BOAT, pruning technique, integration of pruning & construction, Hierarchcal associtation rule.
UNIT - 5 Web Mining Web mining, web content mining, web structure mining, web usage mining, text mining, unstructured text, Episode rule discovery for texts, Hierarchy of categories, text clustering, Paging algorithm.
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