Paper Info
Title
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
Abstract
Data mining has in recent years emerged as an interesting area in the boundary between algorithms, probabilistic modeling, statistics, and databases. Data mining research can be divided into global approaches, which try to model the whole data, and local methods, which try to find useful patterns occurring in the data. We discuss briefly some simple local and global techniques, review two attempts at combining the approaches, and list open problems with an algorithmic flavor.
Year
DOI
Venue
2002
10.1007/3-540-45465-9_6
ICALP
Keywords
DocType
Volume
probabilistic modeling,data mining,data mining research,global approach,whole data,list open problem,global technique,basic techniques,open problems,interesting area,local method,global methods,algorithmic flavor,probabilistic model
Conference
2380
ISSN
ISBN
Citations 
0302-9743
3-540-43864-5
49
PageRank 
References 
Authors
2.05
30
1
Name
Order
Citations
PageRank
Heikki Mannila165951495.69