0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Mining of Data with Complex Structures (Hardcover, 2010 ed.): Fedja Hadzic, Henry Tan, Tharam S. Dillon Mining of Data with Complex Structures (Hardcover, 2010 ed.)
Fedja Hadzic, Henry Tan, Tharam S. Dillon
R4,548 Discovery Miles 45 480 Ships in 10 - 15 working days

Mining of Data with Complex Structures:

- Clarifies the type and nature of data with complex structure including sequences, trees and graphs

- Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining.

-Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints.

- Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.)

- Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees.

- Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees.

- Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach.

- Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies.

- Details the extension of the TMG framework for sequence mining

- Provides an overview of the future research direction with respect to technical extensions and application areas

The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains."

Mining of Data with Complex Structures (Paperback, 2010 ed.): Fedja Hadzic, Henry Tan, Tharam S. Dillon Mining of Data with Complex Structures (Paperback, 2010 ed.)
Fedja Hadzic, Henry Tan, Tharam S. Dillon
R4,364 Discovery Miles 43 640 Ships in 10 - 15 working days

Mining of Data with Complex Structures:

- Clarifies the type and nature of data with complex structure including sequences, trees and graphs

- Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining.

-Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints.

- Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.)

- Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees.

- Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees.

- Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach.

- Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies.

- Details the extension of the TMG framework for sequence mining

- Provides an overview of the future research direction with respect to technical extensions and application areas

The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains."

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
AIDS Issues in the Workplace - A…
Dale Masi Hardcover R2,782 Discovery Miles 27 820
Metabolic Biochemistry, Volume 4
T.P. Mommsen, Peter W. Hochachka Hardcover R9,432 Discovery Miles 94 320
Different Coins in the Fountain - Volume…
Carlos V Cornejo Hardcover R745 Discovery Miles 7 450
Contracting and Contract Law in the Age…
Martin Ebers, Cristina Poncibo, … Hardcover R3,219 Discovery Miles 32 190
The Survivors
Jane Harper Paperback R450 R415 Discovery Miles 4 150
Bostik Double-Sided Tape (18mm x 10m…
 (1)
R33 Discovery Miles 330
Present Tense
Natalie Conyer Paperback R320 R288 Discovery Miles 2 880
Vibrations and Stability - Advanced…
Jon Juel Thomsen Hardcover R3,470 Discovery Miles 34 700
Peppa Pig: Peppa at the Farm - A…
Peppa Pig Board book R215 R194 Discovery Miles 1 940
Nonlinear Dynamics New Directions…
Hernan Gonzalez-Aguilar, Edgardo Ugalde Hardcover R4,416 R3,559 Discovery Miles 35 590

 

Partners