國立虎尾科技大學 |

Supervised descriptive pattern mining

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Supervised descriptive pattern mining/ by Sebastian Ventura, Jose Maria Luna.
Author:	Ventura, Sebastian.
other author:	Luna, Jose Maria.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xi, 185 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-98140-6
ISBN:	9783319981406

Supervised descriptive pattern mining
Ventura, Sebastian.

Supervised descriptive pattern mining[electronic resource] /by Sebastian Ventura, Jose Maria Luna. - Cham :Springer International Publishing :2018. - xi, 185 p. :ill., digital ;24 cm.

1 Introduction to Supervised Descriptive Pattern Mining -- 2 Contrast Sets -- 3 Emerging Patterns -- 4 Subgroup Discovery -- 5 Class Association Rules -- 6 Exceptional Models -- 7 Other Forms of Supervised Descriptive Pattern Mining -- 8 Successful Applications.

This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features) This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.

ISBN: 9783319981406

Standard No.: 10.1007/978-3-319-98140-6doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Supervised descriptive pattern mining
LDR:03070nam a2200337 a 4500 001 928911
003 DE-He213
005 20181006022313.0
006 m d
007 cr nn 008maaau
008 190626s2018 gw s 0 eng d
020 $a 9783319981406 $q (electronic bk.)
020 $a 9783319981390 $q (paper)
024 7 $a 10.1007/978-3-319-98140-6 $2 doi
035 $a 978-3-319-98140-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b V468 2018
100 1 $a Ventura, Sebastian. $3 1110013
245 1 0 $a Supervised descriptive pattern mining $h [electronic resource] / $c by Sebastian Ventura, Jose Maria Luna.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xi, 185 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 Introduction to Supervised Descriptive Pattern Mining -- 2 Contrast Sets -- 3 Emerging Patterns -- 4 Subgroup Discovery -- 5 Class Association Rules -- 6 Exceptional Models -- 7 Other Forms of Supervised Descriptive Pattern Mining -- 8 Successful Applications.
520 $a This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features) This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.
650 0 $a Data mining. $3 528622
650 0 $a Pattern recognition systems. $3 557384
650 1 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Pattern Recognition. $3 669796
700 1 $a Luna, Jose Maria. $3 1110014
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-319-98140-6
950 $a Computer Science (Springer-11645)