Date: Fri, 30 Apr 1999 17:38:00 -0400 (EDT)
From: Mohammed Zaki zaki@cs.rpi.edu
Subject: CFP: Workshop on Large-Scale Parallel KDD Systems
Workshop on Large-Scale Parallel KDD Systems (with KDD99)
August 15th, 1999, San Diego, CA, USA
URL: http://www.cs.rpi.edu/~zaki/WKDD99/
Papers Due: 28th May; Acceptance Notification: 27th June
The goal of this workshop is to bring researchers and practitioners
together in a setting where they can discuss the design,
implementation, and deployment of large-scale, parallel knowledge
discovery (PKD) systems, which can manipulate data taken from very
large enterprise or scientific (e.g., space missions, human genome
project, etc.) databases, regardless of whether the data is
located centrally or is globally distributed. Relevant topics for the
workshop include:
1. How to develop a rapid-response, scalable, and parallel knowledge
discovery system that supports global organizations with terabytes of
data.
2. How to address some of the challenges facing current
state-of-the-art data mining tools. These challenges include relieving
the user from time and volume constrained tool-sets, acquiring data
elements from heterogeneous sources such as the Web or other
repositories, and enhancing the PKD process by incrementally updating
the knowledge stores.
3. How to leverage high performance parallel and distributed
techniques in all the phases of KDD, such as initial data selection,
cleaning and preprocessing, transformation, data-mining task and
algorithm selection and its application, pattern evaluation,
management of discovered knowledge, and providing tight coupling
between the mining engine and database/file server.
4. How to facilitate user interaction and usability, allowing the
representation of domain knowledge, and to maximize understanding
during and after the process. That is, how to build an adaptable
knowledge engine which supports business decisions, product creation
and evolution, and leverages information into usable or actionable
knowledge.
Papers dealing with all aspects of PKD systems are solicited. We
especially encourage implementation and experience papers. There is
no separate registration fee for participating in the workshop, but
the number of partcipants will be limited to 60. Latest information on
the workshop/registration process will be posted at workshop URL.
Workshop Chairs:
Dr. Mohammed J. Zaki Dr. Ching-Tien (Howard) Ho
Computer Science Department IBM Almaden Research Center
Rensselaer Polytechnic Institute 650 Harry Road
Troy NY 12180 San Jose CA 95120
zaki@cs.rpi.edu ho@almaden.ibm.com
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