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CS490D: Introduction to Data Mining Prof. Chris Clifton February 9, 2004 Classification Classification and Prediction What is classification? What is prediction?
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Regression algorithms (predict numeric outcome): neural networks, CART, Regression, GLM ... (predict symbolic outcome): CART, C5.0, logistic regression ...
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Fill in missing values, smooth noisy data, identify or remove outliers, and ... Fill in missing values. Identify outliers and smooth out noisy data. Correct ...
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... (item_name, brand, type), or time(day, week, month, quarter, year) ... Discovery-drive and multi-feature cubes. From OLAP to OLAM (on-line analytical mining) ...
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More on Associations/Rules. Project: Association ... Call: Specify number of literals, number of variables in rules. Finds strongest k rules ...
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'Text Mining' Information Retrieval Tools ' ... May use data mining technology (clustering, association) ... Technology Watch (patent office) ...
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Classification by Support Vector Machines (SVM) Instance Based Methods. Prediction ... apply a statistical test (e.g., chi-square) to estimate whether expanding or ...
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CS490D: Introduction to Data Mining Chris Clifton January 16, 2004 Data Warehousing Data Warehousing and OLAP Technology for Data Mining What is a data warehouse?
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Consists of sequences of values or events changing with time ... A time series can be illustrated as a time-series graph which describes a point ...
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Classification A Two-Step Process. Model construction: describing a set of predetermined classes ... Supervised learning (classification) ...
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An implication expression of the form X Y, where X and Y are itemsets. Example: ... Dynamic itemset counting and implication rules for market basket data. In SIGMOD'97 ...
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Java Outline Intro and Applications Applets and GUI Client / Server RMI, JDBC Background Objective: Platform independent C++ 1991 - 1994 Oak 1994 - JAVA Virtual ...
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Ordinal ... Ordinal attribute: distinctness & order. Interval attribute: distinctness, order & addition ... Ordinal. The values of an ordinal attribute provide ...
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CS590D: Data Mining Chris Clifton January 10, 2006 Course Overview What Is Data Mining? Data mining (knowledge discovery from data) Extraction of interesting (non ...
Data mining (knowledge discovery from data) ... Knowledge discovery (mining) in databases (KDD), knowledge extraction, data ... Late work penalized 10%/day ...
