DMIN
2009
13 years 10 months ago
2009
Abstract - Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex re...
ICDM
2010
IEEE
13 years 10 months ago
2010
IEEE
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
PVLDB
2010
13 years 10 months ago
2010
Large data resources are ubiquitous in science and business. For these domains, an intuitive view on the data is essential to fully exploit the hidden knowledge. Often, these data...
SIGMOD
1998
ACM
13 years 12 months ago
1998
ACM
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
IJISTA
2008
14 years 9 days ago
2008
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
AEI
2007
14 years 13 days ago
2007
In this paper we describe the application of data mining methods for predicting the evolution of patients in an intensive care unit. We discuss the importance of such methods for ...
IIS
2000
14 years 1 months ago
2000
: This paper contains description of an knowledge discovery experiment performed in radio planning department of one of Polish celular telecom providers. The results of using vario...
CATE
2004
14 years 1 months ago
2004
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
APCCM
2006
14 years 1 months ago
2006
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
TSDM
2000
14 years 3 months ago
2000
The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data m...