'Sequential patterns' presentation slideshows

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???????????. Jen-Wei Huang ??? jwhuang@gmail.com National Taiwan University. * http://www.wretch.cc/blog/EtudeBIKE. * http://www.giant-bicycles.com/zh-TW/. * http://cape7.pixnet.net/blog. * http://cape7.pixnet.net/blog. * http://cape7.pixnet.net/blog. * http://www.wretch.cc/blog/orzboyz

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Data Mining &Intrusion Detection

Data Mining &Intrusion Detection. Shan Bai Instructor: Dr. Yingshu Li CSC 8712 ,Spring 08. Outline. Intrusion Detection Data Mining Data Mining in Intrusion Detection Reference. 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002. What is an intrusion?.

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EECS 800 Research Seminar Mining Biological Data

EECS 800 Research Seminar Mining Biological Data. Instructor: Luke Huan Fall, 2006. Administrative. Last day to add/change sections without written permission Send a request to reserve reference books in Spahr library. Outline for today. A road map of frequent item set mining

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Pattern-growth Methods for Sequential Pattern Mining: Principles and Extensions

Pattern-growth Methods for Sequential Pattern Mining: Principles and Extensions. Jiawei Han (UIUC) Jian Pei (Simon Fraser Univ.). Outline. Sequential pattern mining Pattern-growth methods Performance study Mining sequential patterns with regular expression constraints.

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Mining Sequential Patterns: Generalizations and Performance Improvements

Mining Sequential Patterns: Generalizations and Performance Improvements. R. Srikant R. Agrawal IBM Almaden Research Center Advisor: Dr. Hsu Presented by: M.H. Lin. Outline. Motivation Objective Introduction Problem Statement The New Algorithm: GSP Performance Evaluation Conclusion

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Multi-dimensional Sequential Pattern Mining

Multi-dimensional Sequential Pattern Mining. ~From: 10th ACM Intednational Conference on Information and Knowledge Management (CIKM 2001), Atlanta. Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal. ??? 69121507 ???. Outline.

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Data Mining: Concepts and Techniques Mining sequence patterns in transactional databases

Data Mining: Concepts and Techniques Mining sequence patterns in transactional databases. Sequence Databases & Sequential Patterns. Transaction databases, time-series databases vs. sequence databases Frequent patterns vs. (frequent) sequential patterns

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IDENTITY FORMATION

IDENTITY FORMATION. Adolescence entails a recapitulation of early development. PETER BLOS. Second individuation process. SECOND INDIVIDUATION PROCESS. Symbiotic phase late childhood. SECOND INDIVIDUATION PROCESS. Symbiotic phase late childhood Practicing phase early adolescence.

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Sequential Pattern Mining

Sequential Pattern Mining. CS 685: Special Topics in Data Mining. Sequential Pattern Mining. Why sequential pattern mining? GSP algorithm PrefixSpan. Object. Timestamp. Events. A. 10. 2, 3, 5. A. 20. 6, 1. A. 23. 1. B. 11. 4, 5, 6. B. 17. 2. B. 21. 7, 8, 1, 2. B. 28.

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Parallel Mining of Closed Sequential Patterns

Parallel Mining of Closed Sequential Patterns. Shengnan Cong, Jiawei Han, David Padua Proceeding of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining Chicago, Illinois, USA, 2005 Advisor ? Jia-Ling Koh

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ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis)

ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis). Sequential Pattern Mining. Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential Chair of Business. Sequential Patterns. Given: A Transaction Database { cid, tid, date, item }

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Assessing the Quantitative Significance of Sequential Patterns

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An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns

An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. Zhigang Zheng , Yanchang Zhao, Ziye Zuo , and Longbing Cao PAKDD 2010. Outline. Motivation Problem Definition GA-Based Negative Sequential Pattern Mining Algorithm Experiments Conclusion. Motivation.

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Data Mining

Data Mining. CS 157B Section 2 Keng Teng Lao. Overview. Definition of Data Mining Application of Data Mining. Data Mining . Refers to the mining or discovery of new information in terms of patterns or rules from vast amounts of data.

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Narrative and Sequential Approaches to Content Data

Narrative and Sequential Approaches to Content Data . Special Forms of Qualitative Analysis. Quantitative Analysis Logic. Question is RELATION between VARIABLES Assume independence and linear relation Relations are between whole variables Test hypotheses about variables

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Mining Sequence Patterns in Transactional Databases

Mining Sequence Patterns in Transactional Databases. CS240B --UCLA Notes by Carlo Zaniolo Based on those by J. Han. Sequence Databases & Sequential Patterns. Transaction databases, time-series databases vs. sequence databases Frequent patterns vs. (frequent) sequential patterns

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Web Mining

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