editorial

Free access

Editorial: Data mining for understanding user needs

Authors:

Sherry Y. Chen,

Robert D. Macredie,

Xiaohui Liu,

Alistair SutcliffeAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 17, Issue 1

Article No.: 1, Pages 1 - 6

https://doi.org/10.1145/1721831.1721832

Published: 06 April 2010 Publication History

PDF eReader

References

[1]

Benyon D., and Murray D. 1993. Adaptive systems from intelligent tutoring to automonous agents. Knowl.-Based Syst. 6, 4, 197--219.

Digital Library

Google Scholar

[2]

Böttcher, M., Spott, M., Nauck, D., and Kruse, R. 2009. Mining changing customer segments in dynamic markets. Expert Syst. Appl. 36, 1, 155--164.

Digital Library

Google Scholar

[3]

Brown M. P. S., Groundy, W. N., Lin, D., Cristianini, N., Sugnet, C. W., Furey, T. S., Ares, M., and Haussler, D. 2000. Knowledge based analysis of microarray gene expression data by using support vector machines. Proc. Nat. Acad. Sciences 97, 1, 262--267.

Crossref

Google Scholar

[4]

Deng, X., Geng, H., and Ali, H. 2005. Learning yeast gene functions from heterogeneous sources of data using hybrid weighted Bayesian Networks. In Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB'05). 25--34.

Digital Library

Google Scholar

[5]

Fayyad, U., and Uthurusamy, R. 1996. Data mining and knowledge discovery databases. Commun. ACM 39, 11, 24--26.

Digital Library

Google Scholar

[6]

Fischer, G. 1993. Beyond human computer interaction: Designing useful and usable computational environments. In People and Computers VIII: Proceedings of the HCI'93 Conference. Cambridge University Press.

Google Scholar

[7]

Gargano, M. L., and Raggad, B. G. 1999. Data mining: a powerful information creating tool. OCLC Syst. Serv. 15, 2, 81--90.

Crossref

Google Scholar

[8]

Hand D. J., Mannila H., and Smyth P. 2001. Principles of Data Mining. MIT Press, Cambridge, MA.

Digital Library

Google Scholar

[9]

Hedberg, S. R. 1995. The data gold rush. Byte 20, 10, 83--88.

Google Scholar

[10]

Herlocker, J., Konstan, J., Treveen, L., and Riedl, J. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inform. Syst. 22, 1, 5--53.

Digital Library

Google Scholar

[11]

Horvitz, E., and Apacible, J. 2003. Learning and reasoning about interruption. In Proceedings of the 5th International Conference on Multimodal Interfaces.

Digital Library

Google Scholar

[12]

Horvitz, E. Kadie, C. Paek, T., and Hovel, D. 2003. Models of attention in computing and communication: From principles to applications. Comm. ACM 46, 3, 52--59.

Digital Library

Google Scholar

[13]

Iqbal, S. T., and Bailey, B.P. 2008. Effects of intelligent notification management on users and their tasks. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems, ACM Press, New York, 93--102.

Digital Library

Google Scholar

[14]

Lee, S., Lee, S., and Park, Y. 2007. A prediction model for success of services in e-Commerce using decision tree: e-Customer's attitude towards online service Expert Syst. Appl. 33, 3, 572--581.

Digital Library

Google Scholar

[15]

Mateos, A., Dopazo, J., and Jansen, R. 2002. Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons. Genome Res. 12, 11, 1703--1715.

Crossref

Google Scholar

[16]

McCrickard, D. S., Chewar, C. M., Somervell, J. P., and Ndiwalana, A. 2003a. A model for notification systems evaluation: Assessing user goals for multitasking activity. ACM Trans. Comput.-Human Interact. 10, 4, 312--338.

Digital Library

Google Scholar

[17]

McCrickard, D. S., Czerwinski, M., and Bartram, L. 2003b. Introduction: Design and evaluation of notification user interfaces. Int. J. Human-Comput. Stud. 8, 5, 509--514.

Digital Library

Google Scholar

[18]

Ng. S., and Tan, S. 2003. On combining multiple microarray studies for improved functional classication by whole-dataset feature selection. Genome Inform. 14, 44--53.

Google Scholar

[19]

O'Donovan, J., Smyth, B., Gretarsson, B., Bostandjiev, S., Höllerer, T., and Chooser, P. 2008. Visual interactive recommendation. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, 1085--1088.

Digital Library

Google Scholar

[20]

Pentland, A. 2008. Honest Signals: How They Shape Our World. MIT Press, Cambridge, MA.

Crossref

Google Scholar

[21]

Sugumaran, V., and Ramachandran, K. 2007. Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing. Mechan. Syst. Signal Process. 21, 5, 2237--2247.

Crossref

Google Scholar

[22]

Swift, S., Tucker, A., Vinciotti, V., Marin, N., Orengo, C., Liu, X., and Kellam, P. 2004. Consensus clustering and functional interpretation of gene-expression data. Genome Biol. 5, R94.

Crossref

Google Scholar

[23]

Viappiani, P., Pu, P., and Faltings, B. 2007. Conversational recommenders with adaptive suggestions. In Proceedings of the ACM Conference on Recommender Systems. ACM Press, New York, 89--96.

Digital Library

Google Scholar

[24]

Wiwattanacharoenchai, S., and Srivihok, A. 2003. Data mining of electronic banking in Thailand: Usage behavior analysis by using K-means algorithm. In Proceedings of the Regional Conference on Digital GMS. 211--214.

Google Scholar

Cited By

View all

Chen LYan DWang F(2019)User Evaluations on Sentiment-based Recommendation ExplanationsACM Transactions on Interactive Intelligent Systems10.1145/32828789:4(1-38)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3282878
Pu PChen LHu R(2018)Evaluating recommender systems from the user's perspectiveUser Modeling and User-Adapted Interaction10.1007/s11257-011-9115-722:4-5(317-355)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-011-9115-7
Chen LPu P(2018)Critiquing-based recommendersUser Modeling and User-Adapted Interaction10.1007/s11257-011-9108-622:1-2(125-150)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-011-9108-6
Show More Cited By

Recommendations

Editorial: special issue on web content mining

With the phenomenal growth of the Web, there is an everincreasing volume of data and information published in numerous Web pages. The research in Web mining aims to develop new techniques to effectively extract and mine useful knowledge or information ...
Editorial: EIC Farewell and New EIC Introduction

TPDS Editorial: EIC Farewell andNew EIC Introduction
Guest editorial: special issue on a decade of mining the Web

As editors of the Special Issue on a Decade of Mining the Web, we provide a brief overview of how Web mining evolved from the first Web mining workshop (WEBKDD'99) till today. We then introduce the papers of the special issue. Each of them is in a ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 17, Issue 1

March 2010

130 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/1721831

Issue’s Table of Contents

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 April 2010

Published in TOCHI Volume 17, Issue 1

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Editorial
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
1,173
Total Downloads

Downloads (Last 12 months)34
Downloads (Last 6 weeks)7

Reflects downloads up to 06 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chen LYan DWang F(2019)User Evaluations on Sentiment-based Recommendation ExplanationsACM Transactions on Interactive Intelligent Systems10.1145/32828789:4(1-38)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3282878
Pu PChen LHu R(2018)Evaluating recommender systems from the user's perspectiveUser Modeling and User-Adapted Interaction10.1007/s11257-011-9115-722:4-5(317-355)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-011-9115-7
Chen LPu P(2018)Critiquing-based recommendersUser Modeling and User-Adapted Interaction10.1007/s11257-011-9108-622:1-2(125-150)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s11257-011-9108-6
Kveton BBerkovsky SBrdiczka OChau PCarenini GPan SKristensson P(2015)Minimal Interaction Search in Recommender SystemsProceedings of the 20th International Conference on Intelligent User Interfaces10.1145/2678025.2701367(236-246)Online publication date: 18-Mar-2015
https://dl.acm.org/doi/10.1145/2678025.2701367
Yu W(2015)e-MinZuProceedings of the 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops10.1109/WAINA.2015.129(246-249)Online publication date: 24-Mar-2015
https://dl.acm.org/doi/10.1109/WAINA.2015.129
Seuken SParkes DHorvitz EJain KCzerwinski MTan DFaltings BLeyton-Brown KIpeirotis P(2012)Market user interface designProceedings of the 13th ACM Conference on Electronic Commerce10.1145/2229012.2229080(898-915)Online publication date: 4-Jun-2012
https://dl.acm.org/doi/10.1145/2229012.2229080
Qirui Zhang Man Luo Hexian Wang Jinghua Tan (2010)A Hyperlipemia Information Analysis System based on immune algorithm2010 International Conference on Computer Application and System Modeling (ICCASM 2010)10.1109/ICCASM.2010.5620593(V8-421-V8-424)Online publication date: Oct-2010
https://doi.org/10.1109/ICCASM.2010.5620593

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Recommendations

Editorial: special issue on web content mining

Editorial: EIC Farewell and New EIC Introduction

Guest editorial: special issue on a decade of mining the Web

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations