Approaching Process Mining with Sequence Clustering

Oct 07, 2012

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Approaching Process Mining with Sequence Clustering

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Presentation Transcript

Data Mining: Clustering

Data Mining: Clustering. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Grid-Based Methods Model-Based Clustering Methods Outlier Analysis Summary .

1.23k views • 45 slides

Process mining

Process mining. Prof.dr.ir. Wil van der Aalst Eindhoven University of Technology, Department of Information Systems, P.O. Box 513, 5600 MB Eindhoven, The Netherlands w.m.p.v.d.aalst@tm.tue.nl. from languages and systems to analysis .

1.12k views • 32 slides

Data Mining Techniques Clustering

Data Mining Techniques Clustering. Purpose. In clustering analysis, there is no pre-classified data Instead, clustering analysis is a process where a set of objects is partitioned into several clusters

496 views • 22 slides

Clustering in Data Mining

What is Data Clustering. Classification of objects into different groups.Objects in each subset share some common trait.Useful technique for Data Analysis and Data Mining.. Clustering Examples. Biology: clustering is used to group homologous (similar) DNA sequences into gene families. Market Re

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Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R. Eric Feigelson Penn State. Summer School in Astrostatistics for Astronomers XII May 2016. Astronomical context. Astronomers have constructed classifications of celestial objects for centuries:

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Process Mining

Process Mining. Thodoros Topaloglou Daniele Barone. Faculty/Presenter Disclosure. Faculty: Thodoros Topaloglou Relationships with commercial interests: Grants/Research Support: NSERC Discovery Grant (2006-12), PI

1.26k views • 23 slides

Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R. Eric Feigelson Penn State. 2014 Summer School in Statistics for Astronomers. Astronomical context. Astronomers have constructed classifications of celestial objects for centuries:

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Sequence Clustering

Sequence Clustering. Reducing Search S pace in Protein and DNA /RNA S equence A nalysis Denis Kaznadzey, GBP. MGM Workshop September 26, 2011. Sequence clustering. To deal with a huge variety of individual ‘objects’:. Classify into groups of essentially similar objects

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Sequence in Mining

Sequence in Mining. It Takes A Team. Jeff Price Cliffs Natural Resources United Taconite LLC Eveleth, MN. Objective.

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7. Sequence Mining

7. Sequence Mining. Sequences and Strings Recognition with Strings MM & HMM Sequence Association Rules. Sequences and Strings. A sequence x is an ordered list of discrete items, such as a sequence of letters or a gene sequence Sequences and strings are often used interchangeably

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Data Clustering and Mining

Data Clustering and Mining. Dexin Zhou – Bard College (Presenter) Ralph Abbey – North Carolina State U. Jeremy Diepenbrock – Washington U. at St. Louis Project Advisor: Dr. Carl Meyer Additional Advising: Dr. Amy Langville Graduate Assistant: Shaina Race. What is Data Clustering?.

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Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R. Eric Feigelson Penn State. SCCC21 May 2014. Astronomical context. Astronomers have constructed classifications of celestial objects for centuries: Asteros (fixed stars) vs. planetos (roving stars) [Greece, >2Kyr ago]

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Sequence Clustering

Sequence Clustering. COMP 790-90 Research Seminar Spring 2011. CLUSEQ. The primary structures of many biological (macro)molecules are â€œletterâ€ sequences despite their 3D structures. Protein has 20 amino acids. DNA has an alphabet of four bases {A, T, G, C} RNA has an alphabet {A, U, G, C}

449 views • 31 slides

Sequence Clustering

Sequence Clustering. Reducing Search S pace in Protein and DNA /RNA S equence A nalysis Denis Kaznadzey, Prokaryotic Super Program. MGM Workshop May 14, 2012. Sequence Clustering Outline. Classification of Sequences General Problem of Clustering Distance Measures

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7. Sequence Mining

376 views • 23 slides

Sequence Clustering

Sequence Clustering. Reducing Search S pace in Protein and DNA /RNA S equence A nalysis Denis Kaznadzey, Prokaryotic Super Program. MGM Workshop January 30, 2011. Sequence Clustering Outline. Classification of Sequences General Problem of Clustering Distance Measures

708 views • 43 slides

Mining Sequence Data

Mining Sequence Data. 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. 1, 6. C. 14. 1, 8, 7. Sequence Data. Sequence Database:. Examples of Sequence Data. Element (Transaction). Event (Item).

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DATA MINING WITH CLUSTERING AND CLASSIFICATION

DATA MINING WITH CLUSTERING AND CLASSIFICATION. Spring 2007, SJSU Benjamin Lam. Overview. Definition of Clustering Existing clustering methods Clustering examples Classification Classification examples Conclusion. Definition.

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Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R. Eric Feigelson Penn State. Arcetri Observatory, April 2014. Astronomical context. Astronomers have constructed classifications of celestial objects for centuries:

190 views • 8 slides

Process mining

Process mining. At Rabobank. Frank van Geffen 19-9-2013. Outline. Introduction. Outline. Introduction My experience with process mining at Rabobank. Outline. Introduction My experience with process mining at Rabobank Paradigm shift of working with process mining. Outline.

534 views • 34 slides

Sequence Clustering

Sequence Clustering. COMP 790-90 Research Seminar Spring 2011. ApproxMAP. Sequential Pattern Mining Support Framework Multiple Alignment Framework Evaluation Conclusion. Inherent Problems. Exact match

183 views • 17 slides

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Approaching Process Mining with Sequence Clustering

Approaching Process Mining with Sequence Clustering

Presentation Transcript

Data Mining: Clustering

Process mining

Data Mining Techniques Clustering

Clustering in Data Mining

Data Mining: Multivariate clustering &amp; classification with R

Process Mining

Data Mining: Multivariate clustering &amp; classification with R

Sequence Clustering

Sequence in Mining

7. Sequence Mining

Data Clustering and Mining

Data Mining: Multivariate clustering &amp; classification with R

Sequence Clustering

Sequence Clustering

7. Sequence Mining

Sequence Clustering

Mining Sequence Data

DATA MINING WITH CLUSTERING AND CLASSIFICATION

Data Mining: Multivariate clustering &amp; classification with R

Process mining

Sequence Clustering

Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R

Data Mining: Multivariate clustering & classification with R