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Title: The Second Workshop on HPC Power Management: Knowledge Discovery Power API Collaborations Community and What's Next.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1377751
Report Number(s):
SAND2016-8184C
646819
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the HPM 2015 held August 25, 2016 in Hanover , MD, US.
Country of Publication:
United States
Language:
English

Citation Formats

Laros, James H.,. The Second Workshop on HPC Power Management: Knowledge Discovery Power API Collaborations Community and What's Next.. United States: N. p., 2016. Web.
Laros, James H.,. The Second Workshop on HPC Power Management: Knowledge Discovery Power API Collaborations Community and What's Next.. United States.
Laros, James H.,. 2016. "The Second Workshop on HPC Power Management: Knowledge Discovery Power API Collaborations Community and What's Next.". United States. doi:. https://www.osti.gov/servlets/purl/1377751.
@article{osti_1377751,
title = {The Second Workshop on HPC Power Management: Knowledge Discovery Power API Collaborations Community and What's Next.},
author = {Laros, James H.,},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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  • This report contains papers from the second international conference on knowledge discovery and data mining. The general topics covered are: (a) combining data mining and machine learning; (b) data mining applications; (c) data mining and its applications: A general overview; (d) decision-tree and rule induction; (e) learning, probability, and graphical models; (f) mining with noise and missing data; (g) pattern-oriented data mining; (h) prediction and deviation; (j) scalability and extensibility of data mining systems; (j) spatial, text and multimedia data mining; (k) systems for mining large databases; (l) application of mathematical theories; (m) data mining: integration and application; (n) geneticmore » algorithms; (o) mining association rules; (p) rule induction and decision tree induction; (q) spatial, temporal, and multimedia data mining; and (r) special data mining techniques.« less
  • The purpose of this workshop is to bring together statisticians and computer scientists, statistical database system users and system builders, to exchange ideas on statistical database management. Statistical databases contain statistical information or are used for statistical analysis, and they present recognized problems that current data management and statistical software do not fully address. The goals of this workshop are the same as its predecessor held in December 1981, but its organization differs in a number of ways. The proceedings are published prior to the Workshop so that they can: (1) report research results and work in progress, (2) providemore » an intellectual introduction to most of the workshop participants, (3) provide a point of departure for working group discussions.« less
  • Papers were presented to the meeting in the following areas: overview of computer network and distributed database problems; design of distributed database systems; protocols; currency control; data semantics; and optimization models for networks. Two papers from the conference have already been indexed, and may be found under the heading CONF-770521 in the report number index. (RWR)
  • NASA-Marshall's Electrical Power Branch has undertaken the development of expert systems in support of further advancements in electrical power system automation. Attention is given to the features (1) of the Fault Recovery and Management Expert System, (2) a resource scheduler or Master of Automated Expert Scheduling Through Resource Orchestration, and (3) an adaptive load-priority manager, or Load Priority List Management System. The characteristics of an advisory battery manager for the Hubble Space Telescope, designated the 'nickel-hydrogen expert system', are also noted. 2 refs.