The Resource Advances in Knowledge Discovery in Databases, by Animesh Adhikari, Jhimli Adhikari, (electronic resource)

Advances in Knowledge Discovery in Databases, by Animesh Adhikari, Jhimli Adhikari, (electronic resource)

Label
Advances in Knowledge Discovery in Databases
Title
Advances in Knowledge Discovery in Databases
Statement of responsibility
by Animesh Adhikari, Jhimli Adhikari
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
Member of
http://library.link/vocab/creatorName
Adhikari, Animesh
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Adhikari, Jhimli.
  • SpringerLink
Series statement
Intelligent Systems Reference Library,
Series volume
79
http://library.link/vocab/subjectName
  • Engineering
  • Data mining
  • Artificial intelligence
  • Engineering
  • Computational Intelligence
  • Data Mining and Knowledge Discovery
  • Artificial Intelligence (incl. Robotics)
Label
Advances in Knowledge Discovery in Databases, by Animesh Adhikari, Jhimli Adhikari, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks
Dimensions
unknown
Extent
XV, 370 p. 136 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319132129
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-13212-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-13212-9
Label
Advances in Knowledge Discovery in Databases, by Animesh Adhikari, Jhimli Adhikari, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks
Dimensions
unknown
Extent
XV, 370 p. 136 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319132129
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-13212-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-13212-9

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