U of I CS 512 - Algorithms and Principles (7 pages)

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Algorithms and Principles



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Algorithms and Principles

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Pages:
7
School:
University of Illinois
Course:
Cs 512 - Data Mining Principles  

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Data Mining Algorithms and Principles CS512 Midterm Coverage and Review Outlines Jiawei Han Department of Computer Science University of Illinois at Urbana Champaign www cs uiuc edu hanj January 14 2019 Data Mining Pirnciples Algorithms and Applications 1 Outline Stream Data Mining Mining time series and sequence data Graph and structured pattern mining Mining spatial spatiotemporal and multimedia data Multi relational and cross database data mining January 14 2019 Data Mining Pirnciples Algorithms and Applications 2 Mining Data Streams What is stream data Why stream data mining Stream data management systems Issues and solutions Stream data cube and multidimensional OLAP analysis Lossy counting method for mining frequent itemsets Stream classification A stream cube architecture and implementation methods Stream frequent pattern analysis Methods for approximate query answering Decision tree induction method for dynamic data streams Stream cluster analysis K median based method for clustering data streams CluStream method for clustering evolving data streams January 14 2019 Data Mining Pirnciples Algorithms and Applications 3 Time Series and Sequential Pattern Mining Regression and trend analysis Trend discovery in time series Similarity search in time series analysis Similarity search and subsequence matching Sequential pattern mining algorithms Sequential pattern vs closed sequential pattern Efficient mining of sequential patterns CloSpan vs PrefixSpan vs Spade vs GSP Markov chain and hidden Markov model Markov chain models first order vs higher order and their applications Learning and prediction using HMM January 14 2019 Data Mining Pirnciples Algorithms and Applications 4 Graph and Structured Pattern Mining Graph pattern mining and its applications Frequent subgraph mining and closed graph pattern mining The gSpan algorithm The CloseGraph algorithm Graph indexing techniques Indexing by discriminative and frequent pattern analysis The gIndex algorithm January 14



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