Sciweavers

241 search results - page 2 / 49
» Defining the Goals to Optimise Data Mining Performance
Sort
View
CMG
2001
13 years 8 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
13 years 5 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
DMIN
2006
113views Data Mining» more  DMIN 2006»
13 years 8 months ago
Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis
In large telecommunication networks, alarms are usually useful for identifying faults and, therefore solving them. However, for large systems the number of alarms produced is so la...
Jacques-H. Bellec, M. Tahar Kechadi, Joe Carthy
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 7 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
DASFAA
2004
IEEE
110views Database» more  DASFAA 2004»
13 years 10 months ago
Optimising Mediator Queries to Distributed Engineering Systems
Data and computations of a CAD system have been wrapped by a mediator system using CORBA's IIOP Protocol. This allows ad hoc declarative mediator queries to be translated into...
Mattias Nyström, Tore Risch