NDLI: Enhanced clustering of complex database objects in the clustcube framework

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Enhanced clustering of complex database objects in the clustcube framework

Content Provider	ACM Digital Library
Author	Serafino, Paolo Cuzzocrea, Alfredo
Abstract	This paper significantly extends our previous research contribution [1], where we introduced the OLAP-based ClustCube framework for clustering and mining complex database objects extracted from distributed database settings. In particular, in this research we provide the following two novel contributions over [1]. First, we provide an innovative tree-based distance function over complex objects that takes into account the typical tree-like nature of these objects in distributed database settings. This novel distance is a relevant contribution over the simpler low-level-field-based distance presented in [1]. Second, we provide a comprehensive experimental campaign of ClustCube algorithms for computing ClustCube cubes, according to both performance metrics and accuracy metrics, against a well-known benchmark data set, and in comparison with a state-of-the-art subspace clustering algorithm for high-dimensional data. Retrieved results clearly demonstrate the superiority of our approach.
Starting Page	129
Ending Page	136
Page Count	8
File Format	PDF
ISBN	9781450317214
DOI	10.1145/2390045.2390066
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Integration of olap and data mining Olap mining Knowledge discovery from olap data cubes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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