Challenges in knowledge discovery and data mining in datasets

Formats	Non-Member	Member
PDF	$31	$13

Formats

Non-Member

Member

PDF

$31

$13

This paper focuses on some challenges that knowledge discovery and data mining are facing at present. We consider basic concepts of the KDD process and then discuss data mining challenges.

Published in:
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2011 Proceedings of VIIth International Conference on

Date of Conference: 11-14 May 2011

Page(s):: 232 - 233
E-ISBN :: 978-966-2191-18-9
Print ISBN:: 978-1-4577-0639-4
INSPEC Accession Number:: 12123747

Conference Location :: Polyana
Product Type:: Conference Publications

Author(s)

Lobur, M.
CAD Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
Stekh, Y. ; Artsibasov, V.

INSPEC: CONTROLLED INDEXING

data mining

database management systems

INSPEC: NON CONTROLLED INDEXING

KDD process

data mining

knowledge discovery in databases

AUTHOR KEYWORDS

artificial intelligence

data mining

databases

knowledge discovery

warehouses

IEEE TERMS

Algorithm design and analysis

Bioinformatics

Clustering algorithms

Data mining

Gene expression

Spatial databases

Referenced Items are not available for this document.

No versions found for this document.

Standards Dictionary Terms are available to subscribers only.

Please enter a valid username or password.

For Institutional Users:

More Search Options

Challenges in knowledge discovery and data mining in datasets

Author(s)

INSPEC: CONTROLLED INDEXING

INSPEC: NON CONTROLLED INDEXING

AUTHOR KEYWORDS

IEEE TERMS

IEEE Account

Purchase Details

Profile Information

Need Help?

Please enter a valid username or password.

For Institutional Users:

More Search Options

Challenges in knowledge discovery and data mining in datasets

Sign In

Author(s)

INSPEC: CONTROLLED INDEXING

INSPEC: NON CONTROLLED INDEXING

AUTHOR KEYWORDS

IEEE TERMS

IEEE Account

Purchase Details

Profile Information

Need Help?