Knowledge Discovery and Data Mining (KDDM) survey report.
Abstract
The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.
- Authors:
-
- Oak Ridge National Laboratory, Oak Ridge, TN
- Publication Date:
- Research Org.:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 922750
- Report Number(s):
- SAND2005-1219
TRN: US200806%%78
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; DECISION MAKING; INFORMATION RETRIEVAL; INFORMATION SYSTEMS; DATA BASE MANAGEMENT; Research-Decision making.; Data mining.; Knowledge management.
Citation Formats
Phillips, Laurence R, Jordan, Danyelle N, Bauer, Travis L, Elmore, Mark T, Treadwell, Jim N, Homan, Rossitza A, Chapman, Leon Darrel, and Spires, Shannon V. Knowledge Discovery and Data Mining (KDDM) survey report.. United States: N. p., 2005.
Web. doi:10.2172/922750.
Phillips, Laurence R, Jordan, Danyelle N, Bauer, Travis L, Elmore, Mark T, Treadwell, Jim N, Homan, Rossitza A, Chapman, Leon Darrel, & Spires, Shannon V. Knowledge Discovery and Data Mining (KDDM) survey report.. United States. https://doi.org/10.2172/922750
Phillips, Laurence R, Jordan, Danyelle N, Bauer, Travis L, Elmore, Mark T, Treadwell, Jim N, Homan, Rossitza A, Chapman, Leon Darrel, and Spires, Shannon V. 2005.
"Knowledge Discovery and Data Mining (KDDM) survey report.". United States. https://doi.org/10.2172/922750. https://www.osti.gov/servlets/purl/922750.
@article{osti_922750,
title = {Knowledge Discovery and Data Mining (KDDM) survey report.},
author = {Phillips, Laurence R and Jordan, Danyelle N and Bauer, Travis L and Elmore, Mark T and Treadwell, Jim N and Homan, Rossitza A and Chapman, Leon Darrel and Spires, Shannon V},
abstractNote = {The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.},
doi = {10.2172/922750},
url = {https://www.osti.gov/biblio/922750},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 01 00:00:00 EST 2005},
month = {Tue Feb 01 00:00:00 EST 2005}
}