Effective Decision Tree Algorithm For Reality Mining

 
9783659516276: Effective Decision Tree Algorithm For Reality Mining

This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work:- To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

He has awarded PhD CSE from Alagappa University, India. He is working as Associate Professor at Department of Information Technology, Hindustan University, Chennai, India. His area of Interests are BigData, Larger Scale Algorithms and Cloud Data Management.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: EUR 2,99
De Alemania a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Rameshkumar, K. / Sharma, Vidita
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Cantidad: 1
Librería
Valoración
[?]

Descripción Estado de conservación: New. Publisher/Verlag: LAP Lambert Academic Publishing | This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work:- To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining | Format: Paperback | Language/Sprache: english | 107 gr | 220x150x3 mm | 68 pp. Nº de ref. de la librería K9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 33,51
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Rameshkumar K, Sharma Vidita
Editorial: LAP Lambert Academic Publishing 2014-02-13 (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos paperback Cantidad: > 20
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing 2014-02-13, 2014. paperback. Estado de conservación: New. Nº de ref. de la librería 9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,69
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,80
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Rameshkumar K.
Editorial: LAP Lambert Academic Publishing (2016)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Paperback Cantidad: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9783659516276_lsuk

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 36,31
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,40
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Rameshkumar K
Editorial: LAP Lambert Academic Publishing (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2014. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,43
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,20
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Rameshkumar K
Editorial: LAP Lambert Academic Publishing (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, 2014. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 39,62
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,40
A Estados Unidos de America
Destinos, gastos y plazos de envío

6.

K. Rameshkumar; Vidita Sharma
Editorial: LAP LAMBERT Academic Publishing (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Paperback Cantidad: 1
Librería
Irish Booksellers
(Rumford, ME, Estados Unidos de America)
Valoración
[?]

Descripción LAP LAMBERT Academic Publishing, 2014. Paperback. Estado de conservación: New. book. Nº de ref. de la librería M3659516279

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 51,47
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

7.

K. Rameshkumar
Editorial: LAP Lambert Academic Publishing Feb 2014 (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Taschenbuch Cantidad: 1
Librería
Rheinberg-Buch
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Feb 2014, 2014. Taschenbuch. Estado de conservación: Neu. Neuware - This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work:- To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining 68 pp. Englisch. Nº de ref. de la librería 9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,90
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

K. Rameshkumar
Editorial: LAP Lambert Academic Publishing Feb 2014 (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Taschenbuch Cantidad: 1
Librería
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Alemania)
Valoración
[?]

Descripción LAP Lambert Academic Publishing Feb 2014, 2014. Taschenbuch. Estado de conservación: Neu. Neuware - This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work:- To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining 68 pp. Englisch. Nº de ref. de la librería 9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,90
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 17,13
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Rameshkumar K, Sharma Vidita
Editorial: LAP Lambert Academic Publishing, United States (2014)
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Paperback Cantidad: > 20
Impresión bajo demanda
Librería
The Book Depository EURO
(London, Reino Unido)
Valoración
[?]

Descripción LAP Lambert Academic Publishing, United States, 2014. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work: - To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining. Nº de ref. de la librería AAV9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 52,81
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,40
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

K. Rameshkumar
Editorial: LAP LAMBERT Academic Publishing
ISBN 10: 3659516279 ISBN 13: 9783659516276
Nuevos Paperback Cantidad: > 20
Librería
BuySomeBooks
(Las Vegas, NV, Estados Unidos de America)
Valoración
[?]

Descripción LAP LAMBERT Academic Publishing. Paperback. Estado de conservación: New. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work: - To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9783659516276

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 60,08
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda