Proposal for a Track at the 2006 acm symposium on Applied Computing on

Proposal for a Track at the 2006 ACM Symposium on Applied Computing on

Data Mining

Hasan Jamil

Department of Computer Science

Mississippi State University, USA

[e-mail]

and
Rosa Meo

Department of Computer Science

University of Torino, Italy

[e-mail]

Data mining from traditional relational databases as

well as from non-traditional ones such as

semi-structured data, web data and scientific

databases such as biological, earth and

atmospheric, solar system, ecological,

animal behavior, linguistic and sensor data

have recently become a popular way of discovering

hidden knowledge. In the context of relational and

traditional data, methods such as association rules,

chi square rules, ratio rules, implication rules, etc.

have been proposed in multiple, varied

contexts. In the context of non-traditional data,

newer, more experimental yet novel techniques are

being proposed. There is an agreement among the

researchers across communities that data mining is a

key ingredient for success in their respective area of

research and development. Consequently, interest in

developing new techniques for data mining has peaked

and a tremendous stride is being made to answer

interesting and fundamental questions in various

disciplines using data mining. There is a new interest in

developing techniques for obtaining solid data mining

models from distributed databases with privacy and autonomy

guarantees.

In the past, researchers mainly focused on algorithmic

issues in data mining and placed much emphasis on

scalability. Recently, the focus has shifted towards a

more declarative way of answering questions using data

mining that gave rise to the concept of mining

queries. Declarative queries facilitate building

larger systems using small mining building blocks. In

such a paradigm, the system assumes the responsibility of

optimization and scalability. Such an approach will be

extremely useful in developing solutions in complex

systems such as scientific databases where numerous

domain specific knowledge interact with mining

queries. In such an environment, the choice of

algorithm, execution method, and processing strategy

using secondary information often become complicated

and time consuming. A well-developed and robust

implementation strategy for declarative systems can

help eliminate these obstacles in a way similar to

relational and deductive databases and let the users

focus on their application rather than on low level

details.
As part of the 2006 ACM SAC meeting, we propose to

organize a Track on "Data Mining" that will encourage

submissions in all areas of data mining in traditional

as well as emerging non-standard databases. We will

emphasize submissions on declarative data mining,

intelligent querying and associated issues such as

optimization, indexing, query processing, languages

and constraints. We also encourage submissions in

the area of data preprocessing such as data cleaning,

discretization and sampling. The study of new data

models and techniques for privacy preserving

data mining, and data security will be encouraged.

This will allow also to exploit the synergy of mining

in different databases, in parallel, distributed or grid

environments.
We aim at organizing at least five sessions consisting

of about twenty papers in total. Because of our focus and

emphasis on the issues presented before, this ACM track will

be distinct from others such as SIGMOD, VLDB, ICDE and

even SIGKDD, and PAKDD, and specialized workshops such as

DMKD as their focus is too general and covers a broad

range of issues.
This will be our fifth such Track in ACM SAC. As you

are aware, the previous editions of this Track on Data

Mining were successful, and we would like to

continue with the tradition and see this Track grow and

evolve. If approved, as before, we will develop a web-site

to manage the activities of the Track, and electronically

advertise in the specialized user groups and research

networks and institutions. We will advertise in DBWORLD list,

SIGKDD list, KD-net, the European Network of

Excellence in Knowledge Discovery, and our own list of

data mining researchers that includes about 200 active

researchers. We will develop a system to collect,

review, select and put together an attractive program

solely through the electronic media. In light of

our experience and the increase in submissions last

year, we plan to form a large program committee with

almost 60 distinguished members including eminent

researchers such as Jiawei Han, Carlo Zaniolo,

Mohammed Zaki, and others for the purpose of reviewing

submissions and developing an attractive Track

program. Like previous years, we will also consider

inviting selected authors to submit an extended

edition of their contributions for a special issue of

a journal or an edited book.

We would like to continue our tradition and organize

and manage the 2006 ACM SAC Data Mining jointly. Like

the past year, Hasan Jamil and Rosa Meo will serve as

the Program Co-Chairs for the 2006 track. We are also

considering adding third Co-Chair to increase circulation,

number of submission and increase diversity of geographic

presentation. We will let SAC know about our decision soon.
Dr. Hasan Jamil has significant experiences in

organizing and managing such events and is involved in

declarative data mining. Dr. Jamil has been involved

in organizing AMAST Montreal and Sydney meetings. He

was also one of the organizers of the 2000 IEEE BIBE

Symposium and was the PC Chair for the 2001 and 2003

IEEE BIBE Symposiums. He was member of the PC of DaWaK

2001/2002 and 2001/2002 ACM SIGKDD workshop on Data

Mining in Bioinformatics, DBFusion 2002, NGITS 2002,

and so on. He is also a member of the IASTED Technical

Committee on Databases, and the Chair of the IFIP TC 5

Special Interest Group on Bioinformatics. Dr. Hasan

Jamil's research interests include databases and

Bioinformatics. He has published several articles in

leading database, logic programming and Bioinformatics

conferences such as ACM SIGMOD, VLDB, ICDT, KR, ILPS,

etc. He has organized the ACM SAC Data Mining track for

the last four years. He also holds grants from NSF and

USDA for his Bioinformatics projects. Dr. Jamil's home

page at www.cs.wayne.edu/~jamil/ may be consulted

for more information.
Rosa Meo actively works in database and data mining

research since the last ten years. She has developed

database system prototypes for data mining and worked

in European funded projects (V Framework) on data

mining themes and inductive databases. She published

papers on major database and data mining International

Conferences and Journals, such as ACM TODS, Kluwer

DMKD, IEEE IT, VLDB, ICDE, EDBT, etc. She has been

co-chair in 2002 for DTDM (DataBase Technologies for

Data Mining) Workshop at EDBT, and KDID (Knowledge

Discovery in Inductive Database) at ECML/PKDD.

This year (2005), she is a member of the PC of ACM

SIGKDD, VLDB (core database and IIS tracks),

IEEE ICDM, ECML/PKDD. Rosa Meo's home page at

http://www.di.unito.it/~meo/ can be consulted for

more information.

As in the past, we hope to form a large Program

Committee for the purpose of selecting outstanding

papers and developing an interesting program.

Tentatively, we propose the following PC for 2006 ACM

SAC DM track.
Proposed PC:
Reda Alhajj [e-mail], University of Calgary, Canada

Elena Baralis [e-mail], Politecnico di Torino, Italy

Roberto Bayardo [e-mail], IBM Almaden Research Center, USA

Christian Bohm [e-mail], UMIT, Austria

Francesco Bonchi [e-mail], ISTI-CNR, Pisa, Italy

Marco Botta [e-mail], University of Torino, Italy

Jean-Francois Boulicaut [e-mail], INSA

LISI, Lyon, France

Toon Calders [e-mail], University of Antwerp,

BelgiumSaso Dzeroski

Bruno Cremilleux [e-mail], GREYC - Department

d'Informatique, France

Ding Chris [e-mail], Lawrence Berkeley National

Laboratory, USA

Saso Dzeroski [e-mail], Jozef Stefan Institute, Slovenia

Johannes Gerke [e-mail], Cornell University, USA

Fosca Giannotti [e-mail], CNUCE-CNR of Pisa, Italy

Bart Goethals [e-mail], Helsinki Institute for

Information Technology (HIIT), Finland

Le Gruenwald [e-mail], University of Oklahoma, USA

Dimitrios Gunopulos [e-mail], University of California, Riverside, USA

Jiawei Han [e-mail], University of Illinois at

Urbana-Champaign

David Hand [e-mail], Imperial College, London, UK

Sherri Harms [e-mail], University of Nebraska, Kearney, USA

Tomasz Imielinski [e-mail], Rutgers, the State

University of New Jersey, USA

Thorsten Joachims [e-mail], Cornell University, USA

Daniel A. Keim [e-mail] , Martin-Luther-University

Halle-Wittenberg, Germany

Kristian Kersting [e-mail],

Albert-Ludwigs-University, Freiburg, Germany

Marzena Kryszkiewicz [e-mail], Warsaw University of Technology,

Poland

Krzysztof Koperski [e-mail], Insightful Corporation

Stefan Kramer [e-mail], Institut für

Informatik, Albert-Ludwigs-Universität Freiburg, Germany

Pier Luca Lanzi [e-mail], Politecnico di Milano, Italy

Dominique Laurent [e-mail], University of Tours, France

Nada Lavrac [e-mail], Jozef Stefan Institute, Slovenia

Donato Malerba [e-mail], University of Bari, Italy

Giuseppe Manco [e-mail], ICAR-CNR, Italy

Andrew W. Moore [e-mail], Carnegie Mellon University, USA

Katharina Morik [e-mail], University of

Dortmund, Germany

Raymond T. Ng [e-mail], University of British Columbia, USA

Salvatore Orlando [e-mail], Università di Ca' Foscari, Italy

Stefano Paraboschi [e-mail], University of Bergamo, Italy

Jian Pei [e-mail], University at Buffalo, The

State University of New York, USA

Giuseppe Psaila [e-mail], University of Bergamo, Italy

Rauch Jan [e-mail], University of Economics, Czech Republic

Christophe Rigotti [e-mail], INSA LISI,

Lyon, France

Domenico Sacca' [e-mail], Universita' della Calabria, Italy

Lorenza Saitta [e-mail], AMEDEO AVOGADRO

University, Eastern Piedmont, Italy

Maria Luisa Sapino [e-mail]. it, University of Torino, Italy

Sunita Sarawagi [e-mail], KR School of Information

Technology, IIT Bombay, India

Savinov Alexandr [e-mail], Fraunhofer AIS,

Germany

Arno Siebes [e-mail], Utrecht University, The Netherland

Ramakrishnan Srikant [e-mail], IBM Almaden Research Center, USA

Einoshin Suzuki [e-mail], Yokohama National University, Japan

Hannu TT Toivonen [e-mail], University of

Helsinki, Finland

Franco Turini [e-mail], University of Pisa, Italy

Jiong Yang [e-mail], University of Illinois at Urbana

Champaign, USA

Philip S. Yu [e-mail], IBM T.J. Watson Research Center, USA

Raymond Wong [e-mail], University of New South Wales,

Australia

Osmar Zaiane [e-mail], University of Alberta,

Edmonton, Alberta, Canada

Mohammed Zaki [e-mail], Rensselaer Polytechnic Institute, USA

Kang Zhang [e-mail], The University of Texas at

Dallas, USA

Carlo Zaniolo [e-mail], University California Los

Angeles, USA