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...
Social Marketing and Advertising in the…
Lukas Parker, Linda Brennan Paperback R866 Discovery Miles 8 660
The Zionist Masquerade - The Birth of…
J. Renton Hardcover R3,202 Discovery Miles 32 020
The Internet and Health in Brazil…
Andre Pereira Neto, Matthew B. Flynn Hardcover R4,438 Discovery Miles 44 380
The Breaking of Bread and the Breaking…
Minkyu Lee Hardcover R2,100 Discovery Miles 21 000
Waar’s mev. Lieweheersbesie? (0-3)
Ingela P. Arrhenius Board book R230 R180 Discovery Miles 1 800
What We Build Up
Multiple Paperback R289 Discovery Miles 2 890
Let's Find Zog
Julia Donaldson Board book R224 R206 Discovery Miles 2 060
Shadows on Hadrian's Wall: A Journey in…
John S Langley Hardcover R715 Discovery Miles 7 150
Cicero, on Pompey's Command (de…
Ingo Gildenhard, Louise Hodgson Hardcover R1,205 Discovery Miles 12 050
What The Moon Gave Her
Christi Steyn Paperback R295 R250 Discovery Miles 2 500

 

Partners