東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Artificial intelligence for automate...

Anh, Nguyen Thi Ngoc.

Linked to FindBook

Google Book

Amazon

博客來

Artificial intelligence for automated pricing based on product descriptions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for automated pricing based on product descriptions/ by Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki.
Author:	Anh, Nguyen Thi Ngoc.
other author:	Thang, Tran Ngoc.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xv, 53 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.
Contained By:	Springer Nature eBook
Subject:	Pricing - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-16-4702-4
ISBN:	9789811647024

Artificial intelligence for automated pricing based on product descriptions
Anh, Nguyen Thi Ngoc.

Artificial intelligence for automated pricing based on product descriptions[electronic resource] /by Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki. - Singapore :Springer Singapore :2022. - xv, 53 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.

This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.

ISBN: 9789811647024

Standard No.: 10.1007/978-981-16-4702-4doiSubjects--Topical Terms:

3590629
Pricing
--Data processing.

LC Class. No.: HF5416.5 / .A54 2022

Dewey Class. No.: 658.816

Artificial intelligence for automated pricing based on product descriptions
LDR:01941nmm a2200337 a 4500 001 2296192
003 DE-He213
005 20210828082603.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811647024 $q (electronic bk.)
020 $a 9789811647017 $q (paper)
024 7 $a 10.1007/978-981-16-4702-4 $2 doi
035 $a 978-981-16-4702-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HF5416.5 $b .A54 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 658.816 $2 23
090 $a HF5416.5 $b .A596 2022
100 1 $a Anh, Nguyen Thi Ngoc. $3 3590627
245 1 0 $a Artificial intelligence for automated pricing based on product descriptions $h [electronic resource] / $c by Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xv, 53 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology. Computational intelligence
505 0 $a 1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.
520 $a This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.
650 0 $a Pricing $x Data processing. $3 3590629
650 0 $a Artificial intelligence. $3 516317
650 0 $a Data mining. $3 562972
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Thang, Tran Ngoc. $3 3590628
700 1 $a Solanki, Vijender Kumar. $3 3448675
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in applied sciences and technology. $p Computational intelligence. $3 2054423
856 4 0 $u https://doi.org/10.1007/978-981-16-4702-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)