Issue No.01 - January (2011 vol.23)
Published by the IEEE Computer Society
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.7
I would like to begin this report by thanking the associate editors who have completed their term since September 2009: Vijay Atluri, Claudio Bettini, Sharma Chakravarthy, Diane Cook, George Kollios, Charles Ling, Bongki Mong, Dimitris Papadias, Divesh Srivastava, Dacheng Tao, and Domenico Talia. At the same time, I would like to formally welcome the associate editors who have since joined the editorial board: Brian F. Cooper, Graham Cormode, Elena Ferrari, Juliana Freire, Wook-Shin Han, George Karypis, Hiroyuki Kitagawa, Nikos Mamoulis, Joerg Sander, S. Sudarshan, Haixun Wang, and Aidong Zhang. I would also like to thank Divesh Srivastava for his role as an associate editor-in-chief, and Jian Pei for taking on the additional role of an associate editor-in-chief. Without their contributions, the reviewing process would not have been possible.
Next, I would like to survey the progress that we have made in the past year. As could be observed from the list of newly appointed associated editors, we have made a conscious effort to recruit well-established researchers of diverse background, strengths, and geographical locations around the world. We will continue to look for highly qualified editors who are committed and dedicated in handling the review process.
The number of submissions in 2009 is about 860, an increase of 25% over the number in 2008. For 2010, we expect a slight dip in terms of the number of submissions although we do not have the final number at the time of writing this report. As mentioned before, it is our primary goal to improve the quality of the journal. As we are well aware, the number of submissions does not reflect the quality of a journal; rather, it is the quality of the papers, the citations of the papers, and in turn, the impact factor that reflect the quality of a journal. Upholding the emphasis on quality, we have substantially lowered our acceptance rate of papers from 23% to 17% over the last two years. The reviewing process consumes much of the associate editors and reviewers’ time, making it important for the journal to attract better quality submissions. We have therefore been more critical in the screening of submissions before assigning them to reviewers. As in 2009, many papers that are out of the scope of the IEEE Transactions on Knowledge and Data Engineering (TKDE) were administratively rejected. I have also spent time to randomly check submissions with cross-checking software, and have rejected a number of papers where the authors did not declare prior work clearly or where material from papers belonging to others were found.
With the dedication of the associate editors and more aggressive administrative rejects, we have further reduced the turn-around time of the first review from three months in 2009 to two and a half months in 2010. With a shorter turnaround time, we hope to attract better quality submissions and provide more timely issues. With the fusion of technologies, it is getting harder to clearly classify a paper based on a single area. Further, the idea reported for a particular area or application could often be applied to another. Therefore, I have removed category headers for papers from the cover page of the journal. In so doing, I further hope that readers will be encouraged to read more papers contained in the journal.
To further improve coverage of the journal, we have worked with the Steering Committee of the IEEE International Conference of Data Engineering (ICDE) to publish extended versions of its best papers each year as a special issue of TKDE. The best papers of ICDE 2009 appeared in this year’s August issue, and guest editors of the special issue of ICDE 2010 best papers are working on the next issue.
In the new year, we shall continue to enhance the editorial board as well as the quality and composition of the papers we publish. I seek your support in this effort as a good journal will benefit most of us, especially our graduate students.
I would like to conclude this note with thanks once again—to all of our associate editors, guest editors, reviewers, and authors for their hard work, understanding, and support. Thanks very much indeed.
Beng Chin Ooi
Brian F. Cooper received the PhD degree in 2003 from Stanford University, where he worked in the database group, the digital library project, and the peer-to-peer group. His dissertation advisor was Hector Garcia-Molina. He also received the MS degree from Stanford in 2000, and his BS in computer science and BA in Chemistry from the University of Colorado. He is a software engineer on the search team at Google. Previously, he was a principal research scientist at Yahoo! Research. His interests include web search, distributed information systems and databases. Before that, he was an assistant professor at Georgia Tech, where he worked on self-managing peer-to-peer overlays and distributed in-network event processing. His PhD dissertation examined adaptive overlays for replicating data, and for searching for the replicated data once it had been scattered throughout a network.
Graham Cormode is a principal member of technical staff in the Database Management Group at AT&T Shannon Laboratories in New Jersey. Previously, he was a researcher at Bell Labs, after postdoctoral study at the DIMACS center at Rutgers University from 2002-2004. His PhD was granted by the University of Warwick in 2002. He works on data stream algorithms, large-scale data mining, and applied algorithms, with applications to databases, networks, and fundamentals of communications and computation. His work has been recognized with best paper awards at VLDB 2008 and ICDE 2009.
Juliana Freire is an associate professor in the School of Computing at the University of Utah. Before, she was member of technical staff at the Database Systems Research Department at Bell Laboratories (Lucent Technologies) and an assistant professor at OGI/OHSU. An important theme is Professor Freire's work is the development of data management technology to address new problems introduced by emerging applications, including the Web and e-Science. Her recent research has focused on two main topics: scientific data management and Web mining. Within scientific data management, she is best known for her work in provenance and scientific workflows, and for being a cocreator of the open-source VisTrails system. In Web mining, her research has spanned several topics, including focused Web crawling, document clustering, deep-Web information discovery and retrieval, information extraction and integration. Her group created DeepPeep.org, a search engine specialized in forms that serve as entry points to deep Web sites. Professor Freire is an active member of the database and Web research communities, having coauthored more than 90 technical database and Web research communities, having coauthored more than 90 technical papers and holding 4 US patents. She is a recipient of an US National Science Foundation (NSF) CAREER and an IBM Faculty award. She has chaired or cochaired several workshops and conferences, and she has participated as a program committee member in more than 50 events. She is a program chair for the World Wide Web Conference 2010. Her research has been funded by grants from the NSF, US Department of Energy, US National Institutes of Health, the University of Utah, Microsoft Research, Yahoo!, and IBM.
Wook-Shin Han received the BS degree in computer engineering from Kyungpook National University in 1994, and the MS and PhD degrees in computer science from the Korea Advanced Institute of Science and Technology (KAIST), in 1996 and 2001, respectively. He is currently an associate professor in the Department of Computer Engineering at Kyungpook National University, Korea. In the past, he has worked as a postdoctoral researcher at IBM Almaden Research Center, working on parallel progressive optimization inside parallel DB2. His research interests include query processing and optimization, parallel databases, similarity searching, XML databases, spatial databases, object-oriented/object relational databases, and information retrieval. He has published in major international journals and conference proceedings, including SIGMOD, VLDB, ICDE, WWW, the IEEE Transactions on Knowledge and Data Engineering, and the VLDB Journal. He has served as a PC member on VLDB, SIGMOD, ICDE, and CIKM. He is a PC cochair of APWeb 2010 and an editorial board member of several international journals.
George Karypis received the BS and PhD degrees in 1992 and 1996, respectively, both in computer science from the University of Minnesota. He is a professor in the Department of Computer Science & Engineering at the University of Minnesota in the Twin Cities. His research interests spans the areas of data mining, bioinformatics, cheminformatics, high performance computing, information retrieval, collaborative filtering, and scientific computing. His research has resulted in the development of software libraries for serial and parallel graph partitioning (METIS and ParMETIS), hypergraph partitioning (hMETIS), for parallel Cholesky factorization (PSPASES), for collaborative filtering-based recommendation algorithms (SUGGEST), clustering high-dimensional data sets (CLUTO), finding frequent patterns in diverse datasets (PAFI), and for protein secondary structure prediction (YASSPP). He has coauthored more than 150 journal and conference papers on these topics and a book title "Introduction to Parallel Computing" (Addison Wesley, 2003, 2nd edition). He is currently serving on the program committees of many conferences and workshops on these topics (KDD, ICDM, SIAM, ECML. PAKDD, etc), and on the editorial boards of Social Network Analysis and Data Mining Journal, the International Journal of Data Mining and Bioinformatics, and the journal on Current Proteomics, Advances in Bioinformatics, and Biomedicine and Biotechnology.
Hiroyuki Kitagawa received the BSc degree in physics and the MSc and DrSc degrees in computer science, all from the University of Tokyo, in 1978, 1980, and 1987, respectively. He is currently a full professor at Graduate School of Systems and Information Engineering and at Center for Computational Sciences, University of Tsukuba. He is chairperson of the Department of Computer Science, University of Tsukuba, and also chairperson of the Institute of Information Sciences and Electronics, University of Tsukuba. His research interests include integration of information sources, data mining, stream-based ubiquitous data management, distributed data processing architecture, Web data management, XML, and scientific databases. He has published more than 170 papers in refereed journals and international conference proceedings. He is a fellow of IPSJ (Information Processing Society of Japan) and IEICE (The Institute of Electronics, Information and Communication Engineers), Trustee of DBSJ (The Database Society of Japan), and a member of the ACM, IEEE Computer Society, and JSSST.
Nikos Mamoulis received the diploma in computer engineering and informatics in 1995 from the University of Patras, Greece, and the PhD degree in computer science in 2000 from the Hong Kong University of Science and Technology. He is currently an associate professor in the Department of Computer Science, University of Hong Kong, which he joined in 2001. In the past, he has worked as a postdoctoral researcher at the Centrum voor Wiskunde en Informatica (CWI), the Netherlands. From 2008-2009, he was on leave to the Max-Planck Institute for Informatics (MPII), Germany. His research focuses on the management and mining of complex data types,including spatial, spatio-temporal, object-relational, multimedia, text and semistructured data. He has published more than 100 articles in conferences and journals of database research. He has served on the program committees of more than 70 international conferences and workshops on data management and data mining. He was the general chair of SSDBM 2008, the PC chair of SSTD 2009, and he organized the SSTDM 2006 and DBRank 2009 workshops. He has served as PC vice chair of ICDM 2007, ICDM 2008, and CIKM 2009. He was the publicity chair of ICDE 2009 and will be the tutorials chair for ICDE 2011. He is an editorial board member for Geoinformatica Journal and was a field editor of the Encyclopedia of Geographic Information Systems.
Joerg Sander received the PhD degree in computer science in 1998 from the University of Munich (LMU), Germany. He worked one year as a postdoctoral fellow at the University of British Columbia, Canada, and joined the University of Alberta, Canada, in 2001, where he is currently a tenured associate professor. His research interests include knowledge discovery in databases, especially clustering and data mining with particular interest in spatial, spatio-temporal and biological applications, and techniques and index structures that improve scalability of basic operations such as similarity search in large databases. He is well-known for his work on density-based clustering, and he has published extensively in good database and data mining venues, including top venues such as Sigmod, VLDB, KDD, the IEEE Transactions on Knowledge and Data Engineering, and the ACM Transactions on Information Systems. More information can be found at http://webdocs.cs.ualberta.ca/~joerg/.
S. Sudarshan received the PhD degree from the University of Wisconsin, Madison, in 1992. He was a member of the Technical Staff in the database research group at AT&T Bell Laboratories, from 1992 to 1995, and he has been at the Indian Institute of Technology (IIT), Bombay, since 1995, where he currently holds the position of professor. He also spent a year on sabbatical at Microsoft Research, USA, from 2004-2005. His research interests include keyword querying on structured and semistructured data, processing and optimization of complex queries, holistic optimization spanning the programming language/database boundary, testing of database applications, and database security. He is a coauthor of the database textbook Database System Concepts, by Silberschatz, Korth, and Sudarshan, whose sixth edition was released in 2010. He has authored more than 80 research papers, and has received 14 US patents. He is an associate editor of the ACM Transactions on Database Systems, and has served numerous times on the program committees of leading database conferences, such as SIGMOD, VLDB, and ICDE, in addition to being PC Chair for COMAD 2005 and PC Vice Chair for ICDE 2009, and was a member of the Advisory Board of ACM SIGMOD from 2001 to 2004.
Haixun Wang recently joined Microsoft Research Asia in Beijing, China. Before joining Microsoft, he was a research staff member at IBM T.J. Watson Research Center for nine years. He was technical assistant to Stuart Feldman (Vice President of Computer Science of IBM Research) from 2006 to 2007, and technical assistant to Mark Wegman (Head of Computer Science of IBM Research) from 2007 to 2009. He received the BS and the MS degrees, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996, respectively. He received the PhD degree in computer science from the University of California, Los Angeles, in 2000. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 120 research papers in referred international journals and conference proceedings. He was PC vice chair of KDD ’10, ICDM ’09, SDM ’08, and KDD ’08, Demo PC chair of ICDE ’09 and ICDM ’08, Sponsor Chair of SIGMOD ’08, etc., and he serves on the editorial boards of the IEEE Transactions of Knowledge and Data Engineering ( TKDE) and the Journal of Computer Science and Technology ( JCST), as well as in program committees of various international conferences and workshops in the database field, including the coming SIGMOD ’10 and VLDB ’10.
Aidong Zhang is a professor and chair in the Department of Computer Science and Engineering at the State University of New York at Buffalo. Her research interests include bioinformatics, data mining, multimedia and database systems, and content-based image retrieval. She is an author of more than 200 research publications in these areas. She has chaired or served on more than 100 program committees of international conferences and workshops, and currently serves on several journal editorial boards. She has published two books Protein Interaction Networks: Computational Analysis (Cambridge University Press, 2009) and Advanced Analysis of Gene Expression Microarray Data (World Scientific Publishing Co., Inc. 2006). Dr. Zhang is a recipient of the US National Science Foundation CAREER award and the State University of New York (SUNY) Chancellor's Research Recognition award. Dr. Zhang is an IEEE fellow.
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