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Sequence Analysis and Data Mining

Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Over-populat...

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Sequence Analysis and Data Mining | sequencedm.blogspot.com Reviews

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Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Over-populat...

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8 set clear objectives

9 prepare the data

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Sequence Analysis and Data Mining | sequencedm.blogspot.com Reviews

https://sequencedm.blogspot.com

Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Over-populat...

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sequencedm.blogspot.com

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Sequence Analysis and Data Mining: CiteULike

http://sequencedm.blogspot.com/2005/07/citeulike.html

Sequence Analysis and Data Mining. Tuesday, July 12, 2005. I have come across a website which seems to be very helpful for keeping track of academic papers read. The site is CiteULike. The site is free to become a member. It is operated by Richard Cameron which initially only did it for himself. The University of Manchester in England hosts the site for the author meaning the only cost is time. Posted by Brent @ 11:25 AM. Knowledge shared from researching the mining of sequential patterns. Cluseq: effici...

2

Sequence Analysis and Data Mining: August 2005

http://sequencedm.blogspot.com/2005_08_01_archive.html

Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.

3

Sequence Analysis and Data Mining: Scalable Hierarchical Clustering Method for Sequences of Categorical Values

http://sequencedm.blogspot.com/2005/06/scalable-hierarchical-clustering.html

Sequence Analysis and Data Mining. Thursday, June 30, 2005. Scalable Hierarchical Clustering Method for Sequences of Categorical Values. The two algorithms which are very similar scale linearly with the size of the database. They also seem to scale well with respect to the number of frequent patterns found in the pre-processing step. Posted by Brent @ 9:15 AM. Knowledge shared from researching the mining of sequential patterns. Cluseq: efficient and effective sequence clusterin.

4

Sequence Analysis and Data Mining: A hierarchical clustering algorithm for categorical sequence data

http://sequencedm.blogspot.com/2005/06/hierarchical-clustering-algorithm-for.html

Sequence Analysis and Data Mining. Thursday, June 30, 2005. A hierarchical clustering algorithm for categorical sequence data. This algorithm from the results section appears to be less accurate than the Cluseq algorithm, though without running the algorithms on the same data sets it is hard to tell. Posted by Brent @ 2:53 PM. Knowledge shared from researching the mining of sequential patterns. Global partial orders from sequential data. Scalable Hierarchical Clustering Method for Sequen.

5

Sequence Analysis and Data Mining: Local Pattern Detection and Clustering.

http://sequencedm.blogspot.com/2005/08/local-pattern-detection-and-clustering.html

Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. I thought your blog was cool and i think you may like this cool Website. Now just Click Here. We be...

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tutorialsandmore.blogspot.com

Tutorials and more: July 2005

http://tutorialsandmore.blogspot.com/2005_07_01_archive.html

Knowledge shared from my computer experiences with software, etc. Friday, July 15, 2005. URL encoding and decoding with Perl. To URL encode and decode use the following:. Use URI: Escape;. Posted by Brent at 3:51 PM. Thursday, July 07, 2005. PostgreSQL and date formatting. To format a date for output of the SELECT use the method to char. Posted by Brent at 1:12 PM. Tuesday, July 05, 2005. Writing a not so generic Comparator in Java. Public class ListComparator implements Comparator List {. Sequence Analy...

tutorialsandmore.blogspot.com

Tutorials and more: June 2005

http://tutorialsandmore.blogspot.com/2005_06_01_archive.html

Knowledge shared from my computer experiences with software, etc. Thursday, June 30, 2005. Java and set operations. In Java one may use Set. Objects to obtain the results of intersection, union and subtraction. The methods of choice are addAll for union, retainAll for intersection, and removeAll for subtraction. This sample code and output demonstrates the point. Import java.util.HashSet;. Import java.util.Set;. Public class Main {. Creates a new instance of Main */. Param args the command line arguments.

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sequencedm.blogspot.com

Sequence Analysis and Data Mining

Sequence Analysis and Data Mining. Tuesday, August 02, 2005. Local Pattern Detection and Clustering. This paper presents an approach of identifying local patterns using a clustering algorithm titled OPTICS. It has the advantage of including very few user provided parameters. If I had a better understanding of how useful local patterns are then I would appreciate more this paper. Posted by Brent @ 12:18 PM. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Over-populat...

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