'Pattern discovery' presentation slideshows

Monotony and Surprise Algorithmic and Combinatorial Foundations of Pattern Discovery

Monotony and Surprise Algorithmic and Combinatorial Foundations of Pattern Discovery. Alberto Apostolico University of Padova and Georgia Inst. Of Tech. http://www.cc.gatech.edu/~axa/papers A) Specialized Material

1.09k views • 97 slides

Chapter 6: Segmentation

Chapter 6: Segmentation. Chapter 6: Segmentation. Objectives. Define pattern discovery. Name some of the statistical and analytical techniques that are useful for pattern discovery. Pattern Discovery. The Essence of Data Mining?

883 views • 75 slides

What is a motif?

CZ5226: Advanced Bioinformatics Lecture 4: Motifs and methods for generating motifs Prof. Chen Yu Zong Tel: 6874-6877 Email: csccyz@nus.edu.sg http://xin.cz3.nus.edu.sg Room 07-24, level 7, SOC1, National University of Singapore. What is a motif?.

1.05k views • 72 slides

Pattern Discovery in Sequences under a Markov assumption Darya Chudova, Padhraic Smyth

Pattern Discovery in Sequences under a Markov assumption Darya Chudova, Padhraic Smyth Information and Computer Science University of California, Irvine Funding Acknowledgements National Science Foundation, Microsoft Research, IBM Research. Outline. ?. Pattern discovery problem

784 views • 67 slides

Pattern Recognition

Pattern Recognition. CIS 786 Prof. Barry Cohen Pavan Tipirneni Niranjan Mulay Rana Farha Ketal Patel. What is Pattern Recognition?.

706 views • 63 slides

Chapter 8: Introduction to Pattern Discovery

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The Analysis of Patterns

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CS454 Topics in Advanced Computer Science Web Usage Mining

CS454 Topics in Advanced Computer Science Web Usage Mining. Chengyu Sun California State University, Los Angeles. Web Data. Content Structure Usage User profile. Web Usage Mining. Application of data mining techniques to discover usage patterns from web data.

406 views • 39 slides

Advisor ? Dr.Hsu Graduate ? Keng-Wei Chang Author ? Andrew K. C. Wong Yang Wang

???????? National Yunlin University of Science and Technology. Pattern Discovery: A Data Driven Approach to Decision Support. Advisor ? Dr.Hsu Graduate ? Keng-Wei Chang Author ? Andrew K. C. Wong Yang Wang.

359 views • 34 slides

EECS 800 Research Seminar Mining Biological Data

EECS 800 Research Seminar Mining Biological Data. Instructor: Luke Huan Fall, 2006. Administrative. Register for 3 hours of credit. Me. Luke Huan, assistant prof. in Electrical Engineering & Computer Science Homepage: http://people.eecs.ku.edu/~jhuan/ Office: 2304 Eaton Hall

464 views • 32 slides

FEMA: Flexible evolutionary Multi-faceted analysis for dynamic behavior pattern Discovery

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Biological Sequence Pattern Analysis

PLPTH 890 Introduction to Genomic Bioinformatics Lecture 16. Biological Sequence Pattern Analysis. Liangjiang (LJ) Wang ljwang@ksu.edu March 8, 2005. Outline. Basic concepts and biological problems. Regular expression for: Pattern matching (sequence motifs),

611 views • 28 slides

Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data

Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. Srivastava J., Cooley R., Deshpande M, Tan P.N. Appeared in SIGKDD Explorations, Vol. 1, Issue 2, 2000. Web Mining. What is? Data Mining efforts associated with the Web What kind of? Content Mining

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Spatial Random Partition for Common Visual Pattern Discovery

ICCV 2007. Spatial Random Partition for Common Visual Pattern Discovery. Junsong Yuan and Ying Wu EECS Dept. Northwestern Univ. {j-yuan,yingwu}@northwestern.edu. The Problem. Can you find common posters in the two images?. Challenges. No prior knowledge of the common patterns

290 views • 17 slides

Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data

Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. Srivastava J., Cooley R., Deshpande M, Tan P.N. Appeared in SIGKDD Explorations, Vol. 1, Issue 2, 2000. Web Mining. What is? Data Mining efforts associated with the Web What kind of? Content Mining

203 views • 17 slides

Applications of Hidden Markov Models

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Visually Mining and Monitoring Massive Time Series

Visually Mining and Monitoring Massive Time Series. Author: Jessica Lin, Eamonn Keogh, Stefano Lonardi, Jeffrey P. Lankford, and Donna M. Nystrom Reporter: Wen-Cheng Tsai 2007/05/09. SIGKDD,2004. Outline. Motivation Objective Method V-Tree Experience Conclusion Personal Comments.

231 views • 13 slides

Sequence Matching and alignment algorithms in the field of Bioinformatics

Sequence Matching and alignment algorithms in the field of Bioinformatics. Presented by Jennifer Johnstone. Introduction. What is Bioinformatics? Sequence Matching Problem The Alignment Problem Future Research. What is Bioinformatics?.

212 views • 10 slides

Interactive Pattern Discovery with Mirage

Interactive Pattern Discovery with Mirage. A fundamental concern in data analysis is to find correlations among different things. Mirage uses exploratory visualization, intuitive graphical operations to help

185 views • 4 slides

An Answer: the Knowledge Discovery Process

An Answer: the Knowledge Discovery Process. Pattern Discovery. Data Mining. Pre-processing. Pre-processed Data. Raw Data. Results. Evaluation and Visualization. Knowledge.

142 views • 1 slides