Scalable, distributed data mining using an agent based architecture

Conference · Thu May 01 00:00:00 EDT 1997

OSTI ID:501490

Kargupta, H; Hamzaoglu, I; Stafford, B

Algorithm scalability and the distributed nature of both data and computation deserve serious attention in the context of data mining. This paper presents PADMA (PArallel Data Mining Agents), a parallel agent based system, that makes an effort to address these issues. PADMA contains modules for (1) parallel data accessing operations, (2) parallel hierarchical clustering, and (3) web-based data visualization. This paper describes the general architecture of PADMA and experimental results.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE Assistant Secretary for Human Resources and Administration, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 501490
• Report Number(s): LA-UR-97-856; CONF-970841-1; ON: DE97005041; TRN: 97:004458
• Resource Relation: Conference: American Association of Artificial Intelligence (AAAI)/KDD `97, Newport Beach, CA (United States), 14-17 Aug 1997; Other Information: PBD: 1997
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
INFORMATION RETRIEVAL
DISTRIBUTED DATA PROCESSING
ALGORITHMS
PARALLEL PROCESSING
DATA BASE MANAGEMENT
DATA ANALYSIS