UNIT 5 Applications of Data Mining

Jan 10, 2013

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Learning objectives. To study some of the sample data mining applicationsTo study the social implications of data mining applicationsTo explore some of the latest trends of data mining in the areas of text, spatial data and web mining.To discuss the tools that are available for data mining. Busin

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UNIT 5 Applications of Data Mining

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Data Mining Research and Applications

Data Mining Research and Applications. Workshop on Cyberinfrastructure For Environmental Research and Education October 31, 2002 Steve Tanner Information Technology and Systems Center University of Alabama in Huntsville stanner@itsc.uah.edu 256.824.5143 www.itsc.uah.edu. Key Questions:.

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Data Mining : Commercial Applications

Data Mining : Commercial Applications . 趙民德中央研究院統計科學研究所 2002/10/28. DM  good data analysis KDD  DM with commercial objective in mind. Data mining for maximum value is difficult unless a structured plan is followed. Knowledge Discovery process to get the most out of data mining. .

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Contrast Data Mining: Methods and Applications

Contrast Data Mining: Methods and Applications. Kotagiri Ramamohanarao and James Bailey, NICTA Victoria Laboratory and The University of Melbourne Guozhu Dong, Wright State University. Contrast data mining - What is it ?.

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DATA MINING LECTURE 5

DATA MINING LECTURE 5. Similarity and Distance Sketching, Locality Sensitive Hashing. SIMILARITY AND DISTANCE. Thanks to: Tan, Steinbach, and Kumar, “Introduction to Data Mining” Rajaraman and Ullman, “Mining Massive Datasets”. Similarity and Distance.

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DATA MINING LECTURE 5

DATA MINING LECTURE 5. Similarity and Distance Recommendation Systems Sketching, Locality Sensitive Hashing. SIMILARITY AND DISTANCE. Thanks to: Tan, Steinbach, and Kumar, “Introduction to Data Mining” Rajaraman and Ullman, “Mining Massive Datasets”. Similarity and Distance.

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DATA MINING LECTURE 5

DATA MINING LECTURE 5. MinHashing , Locality Sensitive Hashing, Clustering. SKETCHING AND LOCALITY SENSITIVE HASHING. Thanks to: Rajaraman and Ullman, “Mining Massive Datasets” Evimaria Terzi, slides for Data Mining Course. . Finding similar documents.

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Applications of Text Mining

Applications of Text Mining. Ewan Klein School of Informatics & NeSC. Text Mining. Goals Extract useful information from large bodies of unstructured or semi-structured documents Looks for patterns in natural language text Driven by application needs Three Areas: Adding Metadata

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Data mining: theory and applications

Data mining: theory and applications. Heikki Mannila. Data Mining: Theory and Applications. Data analysis becoming more important in other sciences and in industry New measurement methods Ability to store data High-dimensional large data sets

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Data Mining for Security Applications

Data Mining for Security Applications. Prof. Bhavani Thuraisingham The University of Texas at Dallas. June 2006. Outline. Vision at U. Texas at Dallas on Assured Information Sharing Overview of Data Mining

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Applications to Bioinformatics: Microarray Data Mining

Applications to Bioinformatics: Microarray Data Mining. Overview. Gene Expression Microarrays - Overview Building Microarray Classification Models data preparation gene selection parameter tuning and cross-validation Project – Data Mining Competition. Biology and Cells.

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Data Mining: Applications

Data Mining: Applications. Dr. Hany Saleeb. Applications and Trends in Data Mining. Data mining applications Data mining system products and research prototypes Additional themes on data mining Social impact of data mining Trends in data mining Summary. Data Mining Applications.

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Applications of Data Mining in Microarray Data Analysis

Applications of Data Mining in Microarray Data Analysis. Yen-Jen Oyang Dept. of Computer Science and Information Engineering. Observations and Challenges in the Information Age. A huge volume of information has been and is being digitized and stored in the computer.

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APPLICATIONS OF DATA MINING IN INFORMATION RETRIEVAL

APPLICATIONS OF DATA MINING IN INFORMATION RETRIEVAL. Nearest Neighbor Classifiers. Basic intuition: similar documents should have the same class label We can use the vector space model and the cosine similarity Training is simple: Remember the class value of the initial documents

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Business Data Mining Applications

Business Data Mining Applications. Business Data Mining Applications. Partial representative sample of applications Catalog sales CRM Credit scoring Banking (loans) Investment risk Insurance. Fingerhut. Founded 1948 today sends out 130 different catalogs to over 65 million customers

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Data Mining: Applications

Data Mining: Applications. Applications and Trends in Data Mining. Data mining applications Data mining system products and research prototypes Additional themes on data mining Social impact of data mining Trends in data mining Summary. Data Mining Applications.

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Introduction to Data mining applications

Introduction to Data mining applications. Data mining: A young discipline with broad and diverse applications Many tools have been developed for domain specific applications It includes finance ,retail industry,tele communications Some application domains

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UNIT 3-Introduction-data mining

UNIT 3-Introduction-data mining. What is Data Mining Motivating challenges Data Mining Tasks Types of data Data preprocessing Measures of similarity & dissimilarity Data mining applications. Introduction-data mining. Many Definitions

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Applications to Bioinformatics: Microarray Data Mining

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Data Mining: Applications

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Data Mining and Its Applications

Data Mining and Its Applications. Data Mining Techniques – For Marketing, Sales, and Customer Support , by Michael J.A. Berry and Gordon Linoff, John Wiley & Sons, Inc., 1997.

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