期刊名称：ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
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ISSN： | 1556-4681
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出版频率： | Quarterly
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出版社： | ASSOC COMPUTING MACHINERY, 2 PENN PLAZA, STE 701, NEW YORK, USA, NY, 10121-0701
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出版社网址： | http://www.acm.org/
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期刊网址： | http://tkdd.acm.org/
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影响因子： | 2.713 |
| 主题范畴： | COMPUTER SCIENCE, INFORMATION SYSTEMS; COMPUTER SCIENCE, SOFTWARE ENGINEERING |
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
The ACM Transactions on Knowledge Discovery from Data (TKDD) publishes original archival papers in the area of knowledge discovery from data and closely related disciplines. The majority of the papers that appear in TKDD is expected to address the logical and technical foundation of knowledge discovery and data mining.
The international Editorial Board is composed of recognized experts in the various subareas of this field, all with a commitment to maintain TKDD as the premier publication in this active field. Papers should be submitted electronically to ACM TKDD manuscript center. The Editorial Board maintains contact with ACM's Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), as well as with other societies, to encourage submittal of advanced and original papers. When appropriate, concise results may be submitted as technical notes; technical comments on earlier publications are welcome as well.
The journal appears in the ACM Digital Library and is thus available to the many individual and institutional DL subscribers. TKDD will be also included in the SIGKDD Anthology and SIGKDD Digital Symposium Collection CDROM publications. These disparate media (print, web, CDROM, DVDROM), widely distributed, ensure that TKDD articles are easily available to knowledge discovery and data mining researchers.
The existence of TKDD has helped to define the field of knowledge discovery and data mining research. It encompasses the development, formalization, and validation of abstractions and models to describe data mining applications and the design and implementation methods for knowledge discovery and automated analysis of large amount of data.
TKDD welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Such subjects include: scalable and effective algorithms for data mining and data warehousing, mining data streams, mining multi-media data, mining high-dimensional data, mining text, Web, and semi-structured data, mining spatial and temporal data, data mining for community generation, social network analysis, and graph structured data, security and privacy issues in data mining, visual, interactive and online data mining, pre-processing and post-processing for data mining, robust and scalable statistical methods, data mining languages, foundations of data mining, KDD framework and process, and novel applications and infrastructures exploiting data mining technology. TKDD encourages papers that explore the above subjects in the context of large distributed networks of computers, parallel or multiprocessing computers, or new data devices. TKDD also encourages papers that describe emerging data mining applications that cannot be satisfied by the current data mining technology.
TKDD welcomes papers that both lay theoretical foundations for data mining and those that provide new insights into the design and implementation of large-scale data mining systems and tools, data mining interface tools, and data mining tools that integrate with the overall information processing infrastructure. TKDD also accepts papers that describe user and data mining developer and administration experiences and issues in large-scale real-world data mining applications. The emphasis on integration of theory and practice is an attempt to encourage authors of theory papers to consider applicability and/or implementability of the theoretical results, while encouraging authors of systems papers to reflect on the theoretical results that may have been used in building the systems and/or to offer suggestions on issues that may require theoretical treatment.
TKDD also solicits focused surveys on topics relevant to TKDD. These should be deep and will sometimes be quite narrow, but should make a contribution to our understanding of an important area or subarea of databases. More general surveys that are intended for a broad-based Computer Science audience or surveys that may influence other areas of computing research should continue to go to ACM Computing Surveys. Brief surveys on recent developments in data mining research are more appropriate for ACM SIGKDD Explorations. TKDD surveys should be educational to the database audience by presenting a relatively well-established body of database research.
For additional information on the types of papers TKDD will accept, see Editorial Guidelines.
Instructions to Authors
Table of Contents
Manuscript Preparation
Editorial Guidelines
Types of Papers
Prior Publication Policy
Manuscript Format
ACM Copyright Policy
The Computing Reviews Classification System
Submission for Editorial Review
How to Submit
Review Process
Turnaround Time Statistics
Appeals
Procedures for Accepted Papers
How to Prepare Final Version
Copyright and Use Agreement
Page Charges
ACM Author-Izer Service
Manuscript Preparation
Editorial Guidelines
1. TKDD will encourage submissions that have not been published or submitted previously to this or any other publication, and submissions which may significantly contribute to opening up new and potentially important areas of research and development. TKDD will do this by giving earliest possible publication dates for such submissions once they have been accepted. The Associate Editors, with the recommendation from the reviewers, will determine which submissions fall into these categories. The subsequent submissions are then recommended to the Editor-in-Chief, who will make the final decision.
2. TKDD will promote fusion of theory and systems by strongly encouraging the authors of theory papers to indicate applications and implementation considerations/consequences, and the authors of systems papers to indicate the use of existing theoretical results and to point to possible theoretical research issues.
3. TKDD will publish outstanding papers which are "major value-added extensions" of papers previously published in conferences; that is, TKDD will not automatically reject papers that are major extensions to previously published conference papers. These papers will go through the normal review process.
4. TKDD will strive to make papers straightforward and more readable by recommending that authors include examples where appropriate and to make greater efforts to target their presentation to a broader audience than specialists doing current research in the topical areas of the papers.
5. The TKDD Editorial Board is committed to providing an editorial decision within five months, starting with papers submitted in January 2006. This turnaround time is defined to start with the day the paper was submitted electronically and extends to the day the decision was sent to the author. It is expected that the average turnaround time will be even shorter, so prospective authors can expect a fast review of their submission. TKDD editors will also regard a submission to have been withdrawn if its required revision is not submitted within six months of the revision notification.
6. TKDD will discourage excessively long papers (longer than 50 double-spaced pages including figures, references, etc.), and unnecessary digressions, even in shorter papers. TKDD’s goal is to motivate the authors to bring out the essence of their papers more clearly, to make it easier for the reviewers and readers to follow the article, and to allow TKDD to publish more papers in any given issue.
7. Similarly, TKDD encourages shorter submissions, even very short (for example, five page) submissions. The primary focus of review is the significant improvement on the state-of-the-art, not the number pages the manuscript fills.
8. TKDD will adopt the ACM Computing Surveys' style of references; that is, references will be labeled by authors' names and years of publication, rather than by numbers.
9. The editor processing a paper normally assigns three reviewers to a paper. Reviewers provide advice to the editor to assist him/her in reaching an editorial decision regarding the paper. The editor's decision may differ from the consensus of the reviewers. If the editor determines early on in the process that a submission is a clear-reject (through an early-arriving review, editor's own reading, etc.), the editor may stop the review process without collecting all reviews.
10. TKDD will publish occasional special issues to provide timely enhancement to promising areas of research and development, or a timely consolidation of the results in other areas. Guest editors will be invited to organize such issues.
11. TKDD will also publish focused surveys. These reviews should be deeply focused and will sometimes be quite narrow, but will make a contribution to our understanding of an important area or subarea of knowledge discovery from data, broadly defined. More general surveys that are intended for a broad-based Computer Science audience or surveys that may influence other areas of computing research should continue to go to ACM Computing Surveys. Brief surveys on recent developments in knowledge discovery research are more appropriate for ACM SIGKDD Explorations. TKDD surveys should be educational to data mining audiences by presenting a relatively well-established body of data mining research. Surveys can summarize prior literature on a theoretical or systems research topic, or can explain approaches implemented in commercial systems. A survey of the former type summarizes literature on a particular subject, presenting a new way of understanding how the papers in this literature fit together. A survey of the latter type summarizes the best industrial art, and can be acceptable even if it represents no new contribution over what has been used in industry for years, if the paper's content is not to be found in the published literature.
Types of Papers
The ACM Transactions on Knowledge Discovery from Data publishes original archival papers in the area of knowledge discovery and data mining and closely related disciplines. (See the Editorial Charter for further details.) Submitted papers are judged primarily on originality and relevance, but effective presentation is also critical. Contributions should conform to generally accepted practices for scientific papers with respect to organization and style.
TKDD also publishes focused surveys. These should be deep and will sometimes be quite narrow, but would make a contribution to our understanding of an important area or subarea of knowledge discovery and data mining, broadly defined. More general surveys that are intended for a broad-based Computer Science audience or surveys that may influence other areas of computing research should continue to go to ACM Computing Surveys. Brief surveys on recent developments in data mining research are more appropriate for SIGKDD Explorations.
Finally, TKDD welcomes submissions that review, critique, correct, or expand on a paper previously published in TKDD. Such submissions will go through the standard formal review. Where appropriate, the author(s) of the original paper will be given an opportunity to respond, with their own submission.
Prior Publication Policy
The technical contributions appearing in ACM journals are normally original papers that have not been published elsewhere.
A submission based on one or more papers that appeared elsewhere must have major value-added extensions over what appeared previously. There is little scientific merit in simply sending a conference version to a journal after the paper has been accepted for the conference.
Widely distributed refereed conference proceedings, in addition to journal papers, are considered publications, but technical reports and CORR articles (which are not peer reviewed) are not. All overlapping papers appearing in workshop proceedings and newsletters should be brought to the editor's attention; they may be considered publications if they are peer reviewed and widely disseminated.
Novelty Requirement
A manuscript that is based on one or more previous publications by one or more of the published authors should consist of at least 30% new material in the new submission. The new material should be content material; meaning, it should be descriptive beyond straightforward proofs or basic performance figures, but rather illustrate those dimensions that offer substantial, new insights. The submitted manuscript provides an opportunity to present additional results, for example by considering new alternatives or by delving into some of the issues listed in the previous publication(s) as future work. At the same time, it is not required that the submitted manuscript contain all of the material from the published paper(s). In fact, only enough material need be included from the published paper to set the context and render the new material logical.
Disclosure Requirement
The disclosure requirement concerns any paper by any author of the TKDD submission that overlaps significantly with the TKDD submission and: (a) is in submission, (b) has been accepted for publication, or (c) has been published at the time of submission. An overlap is significant when it exceeds a page of the TKDD submission or when the overlap concerns content material in the TKDD submission, regardless of length.
- Papers in categories (b) and (c) should be referenced by the TKDD submission and discussed in the related work section of the submission at a level of detail similar to the level of detail used in the coverage of related work by other authors. Papers that enter into the categories (b) and (c) during the handling of the TKDD submission should be afforded the same coverage in the first revision where this is possible.
- At the time of submission and in writing separate from the submitted manuscript, the corresponding author must inform the handling editor about all papers in categories (a)-(c). In addition, the corresponding author should promptly inform the editor about any papers that enter into categories (a)-(c) during the handling of the submission.
- Should the submission be accepted for TKDD, it is good form to notify the editor handling papers in category (a), for the other venues, of the overlap.
Note that the novelty requirement applies to papers in categories (a)-(c).
The likely outcome of a failure to comply with this Prior Publication Policy is rejection. In particular, the editor, at his or her discretion, may choose immediately to reject a submission when an overlapping paper is discovered about which the corresponding author did not adhere to the requirements stated above.
Manuscript Format
To ensure proper indexing, classification, retrieval and distribution, authors must include the following in the manuscript.
- Descriptive title
- Author names and affiliations
- Abstract
- Content indicators
- Citations to relevant literature
Submission for Editorial Review
How to Submit
To submit a paper, please use the file upload submission process. PDF or postscript are the preferred formats.
If the paper has previously been published, and the author is submitting it with significant updates (see the Prior Publication Policy), please upload the original publication as a supplementary file for review. Before submitting their manuscript, authors should examine the Prior Publication Policy to ensure that their manuscript adheres to both the novelty and disclosure requirements.
Authors should keep editors informed of changes of address. Papers will be refereed in the manner customary with scientific journals before being accepted for publication. It you have any questions, please contact the Editor-in-Chief, and always inform editors in your submission letters of any possible conflicts. Correspondence on editorial matters should be addressed to one of the editors. Correspondence regarding accepted papers should be sent to the following address.
Managing Editor
TKDD
ACM
2 Penn Plaza, Suite 701
New York, NY 10121-0701
Review Process
Submitted papers are evaluated by anonymous referees for originality, relevance, and presentation. (Please see the TKDD referee guidelines for more details.) The author will be notified of the name of an Associate Editor who will be responsible for the processing of the manuscript, and should address correspondence to that Associate Editor.
Appeals
If an author has concerns about how their paper was handled, that author should first bring those concerns to the Associate Editor who handled the processing of the paper. In almost all cases, any misunderstanding will be able to be resolved then. If the concern is not addressed, the author can ask the Associate Editor to turn over processing of the paper to the Editor-in-Chief. This is the Associate Editor's decision. Should the Associate Editor decide not to turn over the processing of the paper, the editorial decision will stand. Otherwise, the Editor-in-Chief will reexamine the materials, and make the final editorial decision.
If the concerns are still not adequately addressed, then the author can appeal to the Chair of the ACM Publications Board, in accordance with ACM policy.
Procedures for Accepted Papers
How to Prepare Final Version
Once a manuscript is accepted, a final version must be submitted to the Editor who processed the paper for transmission to ACM for publication. Although this may be done on paper, electronic submission is highly encouraged. ACM provides for a wide variety of formats for such electronic submissions. Please refer to ACM's Guidelines for Submitting Accepted Articles for details. If the final manuscript is submitted in a format other than LaTeX, then a printed copy of the manuscript must also be sent to the Editor who processed the paper.
The Editor who processed the paper will send to ACM a cover letter notifying ACM of the paper's acceptance and all milestone dates regarding the processing of the paper.
Copyright and Use Agreement
Authors whose papers are accepted sign a form which transfers copyright to the ACM. This form will be sent by the Editor-in-Chief along with notification of acceptance. The completed form should be returned as indicated on the form. Authors retain liberal rights to material published by the ACM. The following is the standard copyright notice used by ACM journals :
Copyright (c) 200x by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or direct 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, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org.
Further details can be found at ACM Interim Copyright Policy.
Submittal of an algorithm for consideration for publication in Transactions on Knowledge Discovery from Data implies that unrestricted use of the algorithm within a computer is permissible.
Page Charges
Author's institutions or corporations are requested to honor a page charge of $100.00 per printed page or part thereof, to help defray the cost of publication. Page charges apply to all contributions. Payment of page charges is not a condition of publication; editorial acceptance of a paper is unaffected by payment or nonpayment.
Editorial Board
Editor-in-Chief
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Philip S. Yu |
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Department of Computer Science
University of Illinois at Chicago
851 S. Morgan St., Rm 1138 SEO
Chicago, IL 60607
Tel: 312-996-0498
Fax: 312-413-0024
www.cs.uic.edu/~psyu/ |
Associate Editors
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Diane J. Cook |
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School of Electrical Engineering and Computer Science
EME 121 Spokane Street PO Box 642752
Washington State University
Pullman, WA 99164-2752
Phone:509-335-4985
Fax: 509-335-3818
email: cook AT eecs DOT wsu DOT edu
http://www.eecs.wsu.edu/~cook/ |
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Ian Davidson |
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Department of Computer Science
University of California at Davis
Kemper Hall, 1 Shields Avenue
Davis, CA 95616
Tel: (530) 752-5764
Fax: (530) 752-4767
email: davidson AT cs dot ucdavis dot edu
http://www.cs.ucdavis.edu/~davidson/ |
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Johannes Gehrke |
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Department of Computer Sciences
4105B Upson Hall
Cornell University
Ithaca, NY 14853
Tel: 607-255-1045
Fax: 607-255-4428
www.cs.cornell.edu/johannes/ |
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Rong Jin |
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Department of Computer Science and Engineering
Michigan State University
Office Address: EB 1124
Office Phone: +1 (517) 353-7284
email: rongjin AT cse.msu.edu
http://www.cse.msu.edu/~rongjin/ |
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Irwin King |
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Department of Computer Science & Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong
Tel: (852) 2609 8398
Fax: (852) 2603 5024
email: king [ at ] cse [ dot ] cuhk [ dot ] edu [ dot ] hk
http://www.cse.cuhk.edu.hk/irwin.king/home |
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Srinivasan Parthasarathy |
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Department of Computer Science and Engineering and Department of Biomedical Informatics
The Ohio State University
Tel: (614) 292-2568
Fax: (614) 292-2911
email: s r i n i AT cse.ohio-state.edu
http://www.cse.ohio-state.edu/~srini/ |
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Jian Pei |
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School of Computing Science
Simon Fraser University
8888 University Drive
Burnaby, BC Canada V5A 1S6
Phone: 1-778-782-6851
Fax: 1-778-782-3045
email: jpei AT cs.sfu.ca
http://www.cs.sfu.ca/~jpei/ |
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Vincent S. Tseng |
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Department of Computer Science and Information Engineering
National Cheng Kung University
No. 1, University Road, Tainan, Taiwan
Phone: +886-6-2757575#62536/
Fax: +886-6-2747076
email: tsengsm AT mail.ncku.edu.tw
http://idb.csie.ncku.edu.tw/tsengsm |
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Ke Wang |
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Department of Computer Science
Simon Fraser University
8888 University Drive
Burnaby, British Columbia, Canada V5A 1S6
Tel: 7787824667
Fax: 7787823045
email: wangk AT cs.sfu.ca
http://www.cs.sfu.ca/~wangk/ |
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Mohammed J. Zaki |
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Department of Computer Science
Rensselaer Polytechnic Institute
Troy, NY 12180-3590
Tel: 518-276-6340
Fax: 518-276-4033
www.cs.rpi.edu/~zaki |
Information Director
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Xiangnan Kong |
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Department of Computer Science
University of Illinois at Chicago
851 S. Morgan St., Rm 1336
Chicago, IL 60607
email: xkong4 AT uic.edu
http://www.cs.uic.edu/~xkong/ |
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Xiaoxiao Shi |
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Department of Computer Science
University of Illinois at Chicago
851 S. Morgan St., Rm 1336
Chicago, IL 60607
email: xiaoxiao AT cs.uic.edu
http://www.cs.uic.edu/~xiaoxiao/
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Information Specialist
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Xiangnan Kong |
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Department of Computer Science
University of Illinois at Chicago
851 S. Morgan St., Rm 1336
Chicago, IL 60607
email: xkong4 AT uic.edu
http://www.cs.uic.edu/~xkong/ |
Headquarters Quarterlies Staff
Laura Lander
Publisher, ACM Journals
lander@hq.acm.org
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