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Data mining techniques for optimizing inventories for electronic commerce

Authors:

Anjali Dhond,

Amar Gupta, and

Sanjeev VadhavkarAuthors Info & Claims

KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

August 2000

Pages 480 - 486

https://doi.org/10.1145/347090.347188

Published: 01 August 2000 Publication History

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Tham JAzam SKhatibi A(2021)Data Mining Technology and Sales Productivity Analysis in MalaysiaHandbook of Research on Future Opportunities for Technology Management Education10.4018/978-1-7998-8327-2.ch018(299-311)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-8327-2.ch018
Paśko Ł(2020)Significance of Manufacturing Process Parameters in a GlassworksAdvances in Manufacturing Science and Technology10.2478/amst-2019-000944:2(39-45)Online publication date: 4-Jun-2020
https://doi.org/10.2478/amst-2019-0009
Hsu KKo Y(2019)Analysis of Operation Performance of Blast Furnace With Machine Learning MethodsUtilizing Big Data Paradigms for Business Intelligence10.4018/978-1-5225-4963-5.ch008(242-269)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-4963-5.ch008
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Data mining techniques for optimizing inventories for electronic commerce

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Published In

KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

August 2000

537 pages

ISBN:1581132336

DOI:10.1145/347090

Chairmen:
Raghu Ramakrishnan
Univ. of Wisconsin
,
Sal Stolfo
Columbia Univ., New York, NY
,
Roberto Bayardo
IBM Almaden Research Center, San Jose, CA
,
Ismail Parsa
Epsilon

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 August 2000

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KDD00

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KDD00: The Second Annual International Conference on Knowledge Discovery in Data

August 20 - 23, 2000

Massachusetts, Boston, USA

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Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

August 25 - 29, 2024

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Cited By

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Tham JAzam SKhatibi A(2021)Data Mining Technology and Sales Productivity Analysis in MalaysiaHandbook of Research on Future Opportunities for Technology Management Education10.4018/978-1-7998-8327-2.ch018(299-311)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-8327-2.ch018
Paśko Ł(2020)Significance of Manufacturing Process Parameters in a GlassworksAdvances in Manufacturing Science and Technology10.2478/amst-2019-000944:2(39-45)Online publication date: 4-Jun-2020
https://doi.org/10.2478/amst-2019-0009
Hsu KKo Y(2019)Analysis of Operation Performance of Blast Furnace With Machine Learning MethodsUtilizing Big Data Paradigms for Business Intelligence10.4018/978-1-5225-4963-5.ch008(242-269)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-4963-5.ch008
Chikán AKovács EMatyusz ZSass MVakhal PChikán AKovács EMatyusz ZSass MVakhal P(2018)Review of the LiteratureInventories in National Economies10.1007/978-1-4471-7371-7_2(13-72)Online publication date: 6-Apr-2018
https://doi.org/10.1007/978-1-4471-7371-7_2
Zhang YPerry D(2016)Predicting Inventory Shipments of Oracle EBS Systems2016 IEEE International Conference on Services Computing (SCC)10.1109/SCC.2016.73(515-522)Online publication date: Jun-2016
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Yao ZRen Hao Xu Xin Geng Ming-zhi Du Q(2016)Research of the optimization processing on initial data in smart substation based on data mining2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)10.1109/APPEEC.2016.7779877(2198-2203)Online publication date: Oct-2016
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Nemati HUdiavar A(2013)SCAXInternational Journal of Business Intelligence Research10.4018/jbir.20130401024:2(19-38)Online publication date: 1-Apr-2013
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Kim YYum B(2011)Recommender system based on click stream data using association rule miningExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.04.15438:10(13320-13327)Online publication date: 15-Sep-2011
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Rao KSaroj VMaity SKoolagudi S(2011)Recognition of emotions from video using neural network modelsExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.04.12938:10(13181-13185)Online publication date: 15-Sep-2011
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