Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
PDF Tools
Image Tools
Text Tools
OCR Tools
Symbol and Emoji Tools
On-screen Keyboard
Latex Math Equation to Image
Smart IPA Phonetic Keyboard
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
128
Voted
SSDBM
1996
IEEE
168
views
Database
»
more
SSDBM 1996
»
Data Mining: Machine Learning, Statistics, and Databases
15 years 7 months ago
Download
isds.bus.lsu.edu
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present someof the research issues, especially from the database angle.
Heikki Mannila
Real-time Traffic
Data Mining Aim
|
Database
|
Large Data Sets
|
Semiautomatic Tools
|
SSDBM 1996
|
claim paper
Related Content
»
Introduction to the special issue on multirelational data mining and statistical relationa...
»
Statistification or Mystification The Need for Statistical Thought in Visual Data Mining
»
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist...
»
Data mining Hypergraph Transversals and Machine Learning
»
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning Wit...
»
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
»
A survey of spatial data mining methods databases and statistics point of views
»
Limits on Learning Machine Accuracy Imposed by Data Quality
»
High Performance Data Mining
more »
Post Info
More Details (n/a)
Added
07 Aug 2010
Updated
07 Aug 2010
Type
Conference
Year
1996
Where
SSDBM
Authors
Heikki Mannila
Comments
(0)
Researcher Info
Database Study Group
Computer Vision