Data Mining Technical Committee (DMTC)

Chair: Barbara Hammer

Vice-Chairs: Carlotta Domeniconi

Zhi-Hua Zhou

TC Report for the 2013 June AdCom Meeting (June 18, 2013)

DMTC Members

2012 Jun AdCom 2013 Jun AdCom

38 Members 41 Members

North America: 14 North America: 13

Latin America: 1 Latin America: 2

Europe: 11 Europe: 12

Africa: 0 Africa: 0

Asia: 7 Asia: 9

Oceania: 5 Oceania: 5

Male: 29, Female: 9 Male: 34, Female: 7Industry or equivalent: 7

New Members: 3 New Members: 15

DMTC Main Conference Statistics

Year Location Accepted /Submitted Oral Poster Special

SessionsWork-shops

Tutorials/plenaries

09SSCI:

Nashville65/123 (53%) 58 0 0 0 1

10 -

11 SSCI: Paris 53/111 (48%) 35 15 1 0 2

12 -

13SSCI:

Singapore46/80 (57%) 29 17 3 0 2

14SSCI:

Orlando15 SSCI

16

Comp: Competitions

CIDM: IEEE Symposium on Computational Intelligence and Data Mining

1. Competitions, Chair: Sven F. Crone2. Medical Data Analysis, Chair: Paulo Lisboa, Vice Chairs: Alfredo

Vellido, Leif Peterson3. Process Mining, Chair: Wil van der Aalst4. Data Visualization and Data Analysis, Chair: Barbara Hammer, Vice

Chairs: Laurens van der Maaten, Daniel Keim5. Educational Data Mining, Chair: Longbing Cao, Vice Chair: Jinyan

Li6. Evaluation and quality issues in data mining, Chair: Philippe Lenca,

Vice Chair: Stephane Lallich 7. Big Data Sets, Chair: Nitesh Chawla, Vice Chair: Paulo Lisboa8. New: Data mining in industrial applications, Chair: Yi Lu Murphey,

Co-chairs: Thomas A. Montgomery, Mahmoud Abou-Nasr (proposal approved)

DMTC Task Forces

Activities at SSCI 2013

Symposium co-chairs:1. “Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)” (Robi Polikar)2. “Computational Intelligence and Data Mining (CIDM)” (B. Hammer, L.Wang, Z. Zhou, N.Chawla)

Special Sessions at CIDM:1.Interpretable systems in machine learning, data analysis, and visualization

2.Process Mining

3.Data Mining in Industrial Applications

Plenaries: Paolo Lisboa, CIBCB

Activities at conferences in 2012/2013 (apart from TF activities)

Tutorials:1. Tutorial at The Sixth ACM International Conference on Web Search and Data Mining

(WSDM'13) entitled "Models and Algorithms for Social Influence Analysis." 2. Tutorial at WWW'13 entitled "mining data semantics“Chair:1. IEEE ICDM-2012 co-chair of tenth International Workshop on Fuzzy Logic and

Applications (WILF 2013) in Genoa (Italy)2. General Chair WSOM 2012, Santiago, Chile3. Co-chair conference Data mining for Business Intelligence, Bridging the Gap, 2013,

Ben-Gurion University of the Negev, Israel4. Program Co-Chair 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data,

and Multi-source Knowledge-driven Clustering in conjunction with the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

5. Special Session Chair" for The Pacific Rim International Conference on Artificial Intelligence (PRICAI), September 2012.

6. Chair PAKDD‘13, Special sessions:1. Special Session on Machine Learning Methods for Processing and Analysis of

Hyperspectral Data at ESANN 2013, Andreas Backhaus, Marika Kästner, Udo Seiffert, and Thomas Villmann

2. Special session on Parallel hardware architectures at ESANN’123. Special session on Recent Advances in Clustering at ESANN’12

Activities for CIS related/other journals(apart from TF activities)

Special issues:1. Special issue ACM Transactions on Intelligent Systems and Technology (TIST)

entitled "knowledge graph and semantic computing“2. Machine Learning journal special issue on “Learning from multi-label data”, 2012,

vol.88, no.1-2, guest editor3. ACM Trans. Intelligent Systems and Technology special issue on “Distance metric

learning in intelligent systems”, 2012, vol.3, no.3, guest editor4. Guest editor WSOM Special Issue of Neurocomputing (under way)5. Guest editor, Special Issue on “Neural Networks for Remotely Sensed Data

Interpretation, EURASIP Journal on Advances in Signal Processing6. Guest editor, IEEE Journal of Selected Topics in Applied Earth Observation and

Remote Sensing about "Machine Learning for Remote Sensing Data Processing“ (under way)

7. Guest editor ‚New Challenges in Neural Computation‘, Neurocomputing (under way)

8. Guest editor, ‚Recent advances in Neural Computation‘, KIEditor:1. Regional Editor Neural Computing & Applications2. EIC journal DAMI3. Editorial board of diverse relevant journals including IEEETNNLS,

Neurocomputing, NPL, ...

Books related to data mining

1. Z.-H. Zhou. Ensemble Methods: Foundations and Algorithms, Boca Raton, FL: Chapman & Hall/CRC, 2012. (ISBN 978-1-439-830031)

2. Book: Imbalanced Learning: Foundations, Algorithms, and Applications, H. He and Y. Ma, Editors, Wiley-IEEE, 2013, in press.

3. Computational Intelligent Data Analysis for Sustainable Development, Chapman and Hall, 2013, Ting Yu; Nitesh Chawla, University of Notre Dame, Indiana, USA; Simeon Simoff

4. P.Estevez, J Principe, P Zegers, Advances in Self-organizing Maps, AISC 198, Springer 2013

Discussions in the 2013 DMTC meeting at SSCI’13, Singapore

1. status memberships CIDM (possibilities to raise members from Africa, female members)

2. status of CIDM (number of contributions, publicity, handling of posters, acceptance criteria)

3. status of task forces (relations in between task forces, how can DMTC support task forces)

4. IEEE journals, in particular journal on big data5. feasibility/reasonability to organize a symposium on big data at

SSCI’14

New Symposium on Big Data at SSCI’14

1. Discussions among SSCI main chair (Haibo He), DMTC chairs (Barbara Hammer, Zhi-Hua Zhou, Carlotta Domeniconi), chair of task force on big data (Nitesh Chawla), potential chairs of CIBD Symposium (Yaochu Jin, Yonghong Peng)

2. CIBD: There will be a separate symposium on big data, co-organized by Yaochu Jin, Yonghong Peng, Nitesh Chawla, Marios Polycarpou at SSCI‘14 under the umbrella of DMTC (Yaochu Jin, Nitesh Chawla being DMTC members)

DMTC chair’s plan for 2013/14

1. Encourage TC members and TF Chairs to propose tutorials, workshops, panels, competitions for SSCI 2014 and WCCI 2014.

2. Encourage TC members and TF Chairs to propose special issues on CIS sponsored journals.

3. Foster task force Big Data, foster dedicated symposium CIBD

4. Foster cross-links of TFs

5. Foster balance of DMTC, TF members as regards geographic regions

6. Encourage members to think about new task forces

Task Force Report for 2012/2013 Meeting

DMTC - TF on Competitions (1/2)

Chair: Sven F. Crone (UK)Members:

Isabelle Guyon (USA)Gavin Cawley (UK) Richard Weber (Chile) Amaury Lendasse (Finland) Stefan Lessmann (Germany)

Aim:• establish standards for competitions in the area of DM• facilitate competitions by providing infrastructure / publicity

Task Force Report for 2012/2013 Meeting

DMTC - TF on Competitions (2/2)

Activities in 2012/2013:1.Competition chair @ IJCNN 2013 (3 competitions running!)

1. Sourcing of Competitions & Marketing2. Coordination of special sessions and workshops on

competitions for IJCNN2. liaison to coordinate activities with Standards TC

Planned Activities in 2013:1. Maintaining webpage on “NN Forecasting Competitions” (since 2008)

Task Force Report for 2013 April at IEEE-SSCI

Task Force on Medical Data Analysis (1/2)

Chair: Paulo Lisboa (UK)Vice-Chair(s): Leif Peterson (USA), Alfredo Vellido (Spain)Members: Adam Gaweda (USA), Jose Martin (Spain), Azzam Taktak (UK)

Aim:• foster applications of data mining in medical applications• identify specific demands (such as interpretability, big data, …)

Activities in 2012-13:1.CIBCB’13 keynote ‘Interpretability in Computational Intelligence2.Proposed special session on ‘Interpretable models for bioinformatics and biosignals’ at CIBCB’133.IEEE Summer School proposal on Interpretable Methods in Machine Learning and Computational Intelligence4.Programme Chair: Advances in Medical Signal and Information Processing (MEDSIP 2012), Liverpool.5.Special session on ‘Sparsity for interpretation and visualization in inference models’ at ESANN 2013, Bruges.

Planned activities for 2013-14:6. Planning special sessions at WCCI14 and CIDM14.7. Potential link with the Task Force on Big Data.

Task Force Report for 2013 April at IEEE-SSCI

Task Force on Medical Data Analysis (2/2)

TF on Process Mining (1/4)

Chair: Wil van der Aalst (The Netherlands)Members:

See http://www.win.tue.nl/ieeetfpm/ for full list and affiliations.

TF on Process Mining (2/4)

Chair: Wil van der Aalst (The Netherlands)Members: Accorsi, Rafael Baier, Thomas Blickle, Tobias Brand, Peter van den Brandtjen, Ronald Burattin, Andrea Carmona, Josep Castellanos, Malu Claes, Jan Cook, Jonathan Costantini, Nicola Curbera, Francisco Depaire, Benoît Dongen, Boudewijn van Duftler, Matthew Dumas, Marlon Ferreira, Diogo Geffen, Frank van Goel, Sukriti Günther, Christian Guzzo, Antonella Harmon, Paul Hofstede, Arthur ter Hoogland, John Ingvaldsen, Jon Espen Jung, Jae-Yoon Kato, Koki Khalaf, Rania Kuhn, Rudolf Kumar, Akhil Lakshmanan, Geetika Lehto, Teemu Malerba, Donato Manuel, Alberto McCreesh, Martin Mello, Paola Mendling, Jan Motahari Nezhad, Hamid Reza Muehlen, Michael zur Mukhi, Nirmal Munoz-Gama, Jorge Muthusamy, Vinod Omokpo, Amos Passova, Sofia Reason, Johnathan Rembert, Aubrey J Rozinat, Anne Rozsnyai, Szabolcs Seguel Pérez, Hugo Seguel Pérez, Ricardo Sepúlveda, Marcos Sinur, Jim Slominski, Aleksander Soffer, Pnina Song, Minseok Sperduti, Alessandro Stoel, Casper Swenson, Keith Talamo, Maurizio Turner, Chris Vanderhaeghen, Dominik Vanthienen, Jan Varvaressos, George Verbeek, Eric Verdonk, Marc Vigo, Roberto Wang, Jianmin Weber, Barbara Webster, Charles Weffers, Harold Weijters, Ton Wynn, Moe

See http://www.win.tue.nl/ieeetfpm/ for full list and affiliations.

TF on Process Mining (3/4)

Web: http://www.win.tue.nl/ieeetfpm/doku.php

Aim - promotion of Process Mining, i.e. data mining techniques for (business) processes- providing infrastructure and software- establishing standards- fostering research

TF on Process Mining (4/4)Activities - Promotion of Process Mining and the Task Force based on the manifesto: IEEE Computer, Communications of the ACM, Informatica, Informatik Spektrum, Information Systems, Mondo Digitale, Communication of China Computer Federation, Institute for Internal Auditors, Computing Now, Computable, BPTrends, Automatiseringsgids, KDD, etc. etc.- Various publications and presentations of group members (list is endless).- Promotional videos, e.g.,: http://www.youtube.com/watch?v=DaK_o8e1WKw, http://www.youtube.com/watch?v=BMoEuzqFOPo, http://www.youtube.com/watch?v=D_8Xr8UWkis, http://www.youtube.com/watch?v=oqI3RHCmHcI, http://fluxicon.com/camp/2012/anne- Special Session on Process Mining at 2012 IEEE World Congress On Computational Intelligence (June 10-15, Brisbane, Australia), Moe Wynn, Jan Vanthienen, Zbigniew Michalewicz, Adam Ghandar.- 8th International Workshop on Business Process Intelligence 2012 (Boudewijn van Dongen, Diogo R. Ferreira, Barbara Weber).- Second International Business Process Intelligence Challenge (BPIC’12) (Boudewijn van Dongen, Diogo R. Ferreira, Barbara Weber).- Process Mining Camp (http://fluxicon.com/camp/2012/), Fluxicon, Anne Rozinat, Christian W. Günther, June 4th 2012.- Dagstuhl Seminar "Unleashing Operational Process Mining" in 2013 (Rafael Accorsi, Malu Castellanos, Ernesto Damiani, Wil van der Aalst).- Special issue on Business Process Intelligence/Process Mining of ACM Transactions on Management Information Systems - Special session on Process Mining at CIDM 2013, Singapore (Andrea Burattin and Fabrizio Maggi).- BPI 2013 and BPIC 2013 are being organized.- XES was adopted as the Task Force's standard at the 2010 annual meeting, see www.xes-standard.org. Started a formal IEEE standardization process to become a "real" IEEE standard; working groups has been formed (driven by Eric Verbeek).

Task Force Report

Task Force on Data Visualization and Data Analysis (1/4)

Chair: Barbara HammerVice-Chairs: Laurens van der Maaten, Daniel KeimWeb: http://www.techfak.uni-bielefeld.de/~bhammer/DVA/index.html

Members: Michael Aupetit, CEA LIST Michael Biehl, RU Groningen Alexander Hinneburg, University HalleAta Kaban, University of Birmingham Samuel Kaski, Aalto UniversityMarc E. Latoschik, Univ. of WuerzburgGuy Lebanon, Georgia TechJohn A. Lee, Universite Louvain Erzsebet Merenyi, Rice University Olfa Nasraoui, University of Louisville Tim Nattkemper, Bielefeld University Fabrice Rossi, Telecom Paris Tech Fei Sha, University of Southern California Yasufumi Takama, Tokyo Metropolitan University

Holger Theisel, University of Magdeburg Peter Tino, University of Birmingham Michel Verleysen, Universite Louvain Thomas Villmann, University of Applied Sciences Mittweida Axel Wismueller, University of Rochester Stefan Wrobel, Fraunhofer IAISGabriel Zachmann, University Bremen

Task Force Report

Task Force on Data Visualization and Data Analysis (2/4)

Aim:

• foster research in data visualization, inference of human accessible models, interpretability of models• bridge the gap of machine learning and information visualization• address problems as occur in interactive systems (evaluation, real time models, big data)

Task Force Report

Task Force on Data Visualization and Data Analysis (3/4)

Activities 2012/2013:

• special session at CIDM13: Interpretable systems in machine learning, data analysis, and visualization (Michael Biehl, Fabrice Rossi)

• workshop: New challenges in neural computation with special focus topic ‚High dimensional data analysis and visualization‘ at DAGM‘12 (Barbara Hammer, Thomas Villmann)

• Dagstuhl seminar Information Visualization, Visual Data Mining and Machine Learning in 2012 (Daniel Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel)

• special issue ‚Intelligent Interactive Data Analysis‘ at DAMI (Barbara Hammer, Daniel Keim, Guy Lebanon, Neil Lawrence) completed

• invited talk at WSOM’12 on ‚Visualization of large data sets‘

Task Force Report

Task Force on Data Visualization and Data Analysis (4/4)

Planned Activities: • workshop New challenges in neural computation with special focus topic

‚Interpretable Models‘ at GCPR‘13 (Barbara Hammer, Thomas Martinetz, Thomas Villmann)

• follow-up of Dagstuhl seminar Information Visualization, Visual Data Mining and Machine Learning (Fabrice Rossi, Michel Verleysen, proposal in preparation)

• Visual Analytics using Multidimensional Projections Workshop co-located with EuroVis 2013 (Michael Aupetit, Laurens van der Maaten, ...)

• Workshop VR/AR of GI in Würzburg, subsequent special issue of the journal of Virtual Reality and Broadcasting (M. Latoschik)

• Summer School in Interactive Intelligent Spaces (M. Latoschik)• Workshop on ‚High dimensional data mining‘ at IEEE ICDM (Ata Kaban)• WSOM’14 (Thomas Villmann)• Special issue on Machine Learning for Remote Sensing Data Processing in

IEEE Appl.Earth Obs. Rem. Sens. (E.Merenyi)• we are envisioning special sessions at WCCI14 or CIDM14

DMTC-TF on Educational Data Mining (1/2)

Chair: Longbing CaoVice-Chair(s): Jinyan LiWeb: http://datamining.it.uts.edu.au/edd/Members:Yiling Zeng, Advanced Analytics Institute, UTS, Martin Hanlon, Planning and Quality Unit, UTS,Brett Smout, Student Services Unit, UTS, Patrick Player, Student Systems, UTS,Kieran McPherson, Application Services, UTS, Michael Rothery, Planning and Quality Unit, UTS,Siu-Kui Ho, Planning and Quality Unit, UTS, Paul Kennedy, School of Software, UTS,Gordon Lingard, School of Software, UTS, Andrew Litchfield, School of Software, UTS,Jian Pei, Simon Fraser University, Charles Ling, The University of Western Ontario,Lizhen Liu, Capital Normal University, Xia Cui, Chinese Acedemy of Sciences,Yaodong Li, Chinese Academy of Sciences, Wensheng Zhang, Institute of Automation, CAS,Jeffrey Xu Yu, City University of Hong Kong, Huaiqing Wang, City University of Hong Kong,Jinyan Li, National University of Singapore Xueqi Cheng, Institute of Computing Technology, Chinese Academy of Sciences,

DMTC-TF on Educational Data Mining (2/2)

Aim: EDM is concerned with the analyzis of data from educational settings, including interactive learning systems, intelligent tutoring systems and institutional administration data. The primary goals of EDM is to uncover scientific evidence or patterns that are useful to gain insights and explain educational phenomenons.

Activities:1. workshop ‘educational data mining‘ Sydney 20122. several systems demonstrated at big data forum - Canberra 20133. EDM systems demonstrated at big data summit - Sydney 2013

Planned:special issue in an IEEE journalactivities at CIS events

Task Force Report

Task Force on Evaluation and Quality (1/2)

Chair: Philippe LencaVice-Chair:Stéphane Lallich

Members:

Aim: • define standards how to evaluate ML tools• define quality measures• provide discussion forum and infrastructure

Komate AmphawanNitesh ChawlaJean DiattaThanh-Nghi DoFedja HadzicMichael HahslerMartin HolenaWilliam KlementStéphane Lallich

Jean-Charles LamirelPhilippe LencaMing LiJan RauchIzabela SzczechKitsana WaiyamaiGuangfei YangRas Zbyszek

Task Force Report

Task Force on Evaluation and Quality (2/2)

Activities 2012/2013: • workshop: the third Quality issues, measures of interestingness

and evaluation of data mining models workshop (QIMIE'13) organized with PAKDD 2013

• member meeting at PAKDD• special issue in the Journal of Intelligent Information Systems

(launched)• http://linkedin.com/ group will be soon open

Planned Activities: • web site• attract new members• start discussions about 'hot topics' and advanced evaluation topics

for young researchers • we are envisioning special sessions, to be discussed with TF

members

DMTC-TF on Big Data (1/1)

Chair: Nitesh ChawlaVice-Chair(s): Paulo LisboaMembers:Zhi-Hua Zhou, Lipo Wang, Ata Kaban, Philip Kegelmeyer, Ashok Srivastava, Haibo He, Paulo Lisboa

Aim: foster research in the emerging area of big dataconnect diverse research from TFs, different comunitiesPlanned Activities:• Special Issue on Big Data• Tutorial/Special Sessions on Big Data at CIS conferences• Web page• Symposium on Big Data at SSCI’14