Privacy preserving decision tree in multi party environment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3689 LNCS, Issue , 2005, Pages 727-732

  Suthampan, Eakalak ^a   Maneewongvatana, Songrit ^a  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DECISION THEORY; DISTRIBUTED DATABASE SYSTEMS; TREES (MATHEMATICS);

MULTI PARTY ENVIRONMENT; PRIVATE DECISION TREE ALGORITHMS;

DATA PRIVACY;

EID: 33646128473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11562382_75     Document Type: Conference Paper

References (7)

1. M. Kantarcioglou and C. Clifton, Privacy-preserving Distributed Mining of Association Rules on horizontally Partitioned Data, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (2002), 24-31.
2. J. Vaidya and C. Clifton, Privacy, Preserving Association Rule Mining in Vertically Partitioned Data, ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (2002), 639-644.
3. W. Du and Z. Zhan, Building Decision Tree Classifier on Private Data, IEEE ICDM Workshop on Privacy, Security and Data Mining (2002), 1-8.
4. A. C. Yao, Protocols for Secure Computations, IEEE Symp. Foundations of Computer Science (1982).
5. R. Agrawal, A. Evfimievski, and R. Srikant, Information Sharing Across Private Databases, ACM SIGMOD Int. Conf. Management of Data (2003), 86-97.
6. J. Rose Quinlan, Induction of Decision Trees, Machine Learning 1(1986):81-106.
7. J. Shrikant Vaidya, Privacy Preserving Data Mining Over Vertically Partitioned Data, Ph.D Thesis of Purdue University, August 2004, 28-34.