论文信息 - Modification of GTD from Flat File Format to OLAP for Data Mining

Modification of GTD from Flat File Format to OLAP for Data Mining

This document is part of original research work by the authors in a bid to explore new fields for applying Data Mining Techniques. The sample data is part of a large data set from University of Maryland (UMD) and outlines how more meaningful patterns can be discovered by preprocessing the data in the form of OLAP cubes.

Karanjit Singh | Shuchita Bhasin

[1] Gang Wang,et al. Automatically detecting deceptive criminal identities , 2004, CACM.

[2] Kun Liu,et al. Privacy Sensitive Distributed Data Mining from Multi-party Data , 2003, ISI.

[3] Hsinchun Chen,et al. Using Coplink to Analyze Criminal-Justice Data , 2002, Computer.

[4] Stephen G. MacDonell,et al. Software Forensics: Extending Authorship Analysis Techniques to Computer Programs , 2002 .

[5] Salvatore J. Stolfo,et al. A data mining framework for building intrusion detection models , 1999, Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344).

[6] Hsinchun Chen,et al. An International Perspective on Fighting Cybercrime , 2003, ISI.

[7] Ted E. Senator,et al. The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions , 1995, IAAI.

[8] George M. Mohay,et al. Mining e-mail content for author identification forensics , 2001, SGMD.

[9] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .

[10] Hsinchun Chen,et al. Extracting Meaningful Entities from Police Narrative Reports , 2002, DG.O.