Data Mining Technical Committee (DMTC)

Chair: Barbara Hammer

Vice-Chairs: Carlotta Domeniconi

Zhi-Hua Zhou

Short TC Report for the 2013 June AdCom Meeting (June 20, 2013)

• 41 members (15 new ones)

• main conference CIDM at SSCI’13 (46 papers out of 80 accepted)

• 8 task forces (1 new: industrial applications)

• DMTC meeting at CIDM’13 in Singapore

• > 70 activities fostering DM as concerns organization of conferences, workshops, editing of books, special issues, …

• In this short note, focus lies on two spotlights:• New symposium : Computational Intelligence for Big Data• Effort of task force on Process Mining: XES standardization

•

Short Overview

New Symposium on Big Data:CIBD at SSCI’14

• discussion at DMTC meeting at CIDM’13: • big data is hot topic, • but it is integral to DM in general, so not clear whether a

separate symposium necessary/beneficial

• discussions among SSCI’14 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), Hisao Ishibuchi

CIBD‘14: There will be a separate symposium on big data, co-organized by Yaochu Jin, Yonghong Peng, Nitesh

Chawla, Marios Polycarpou at SSCI’14, strongly supported by DMTC

XES standardization proposal driven by TF on process mining

• Task force on Process Mining:• chair: Wil van der Aalst, homepage:

http://www.win.tue.nl/ieeetfpm/doku.php• > 70 members, activities could make up an own TC• very strong interest from industry

XES standardization proposal driven by TF on process mining

• What is Process Mining?A small sample process model and a small (!) real one:

Examples:• company• production• web services• health care• administration• curricula• ...

XES standardization proposal driven by TF on process mining

• Process = sequence of events• Process model = model which covers all possible sequences of

events (and only those)• Process models are essential to structure, maintain, and

document processes and supporting software

Problems:• no models• wrong models (not consistent with data)• inefficient processes

Process Mining: use data mining techniques to• infer process models (play in)• verify process models (play out, conformance check)• inspect process models and optimize processes (replay)

XES standardization proposal driven by TF on process mining

Process models and event logs:

Event log = set of sequences of events and their characteristics

XES standardization proposal driven by TF on process mining

Process models and event logs:

event logprocess model

process business process modelling

discovery algorithms such as alpha miner, heuristic miner, ...conformance checkingmining

XES: standard to represent event log data

ProM

<?xml version="1.0" encoding="UTF-8" ?><!-- XES version 1.0 --><!-- Created by Fluxicon Nitro (http://fluxicon.com/nitro/ --><!-- (c) 2010 Fluxicon Process Laboratories / http://fluxicon.com/ --><log xes.version="1.0" xmlns="http://code.deckfour.org/xes" xes.creator="Fluxicon Nitro">

<extension name="Concept" prefix="concept" uri="http://code.deckfour.org/xes/concept.xesext"/><extension name="Time" prefix="time" uri="http://code.deckfour.org/xes/time.xesext"/><extension name="Organizational" prefix="org" uri="http://code.deckfour.org/xes/org.xesext"/><global scope="trace">

<string key="concept:name" value="name"/></global><global scope="event">

<string key="concept:name" value="name"/><string key="org:resource" value="resource"/><date key="time:timestamp" value="2011-04-13T18:27:00.515+02:00"/><string key="Activity" value="string"/><string key="Resource" value="string"/><string key="Costs" value="string"/>

</global><classifier name="Activity" keys="Activity"/><classifier name="activity classifier" keys="Activity"/><string key="creator" value="Fluxicon Nitro"/><trace>

<string key="concept:name" value="1"/><string key="creator" value="Fluxicon Nitro"/><event>

<string key="concept:name" value="register request"/><string key="org:resource" value="Pete"/><date key="time:timestamp" value="2010-12-30T11:02:00.000+01:00"/><string key="Activity" value="register request"/><string key="Resource" value="Pete"/><string key="Costs" value="50"/>

</event>...

</trace><trace>

...</trace>

</log>

XES standardization proposal driven by TF on process mining

Pros:• standard to represent data for diverse process discovery

algorithms• standard to represent data for play-out and analysis such as

comparison, visualization• standard for representation of data stemming from business

process models, possibility of data transformation for important systems currently in use (such as SAP)

• extendable

XES standardization proposal driven by TF on process mining

• XES – eXtensible Event Stream for interoperability in event logs

• process mining as extremely relevant, relatively novel area of DM, combine process models with data in a principled way

• backed up by public source extensible software such as ProM

• XES closes the gap of data exchange which is extremely problematic in current applications / systems

• a core group of about ten people already waits as volunteers to write the XES standardization proposal

• strongly supported by and DMTC

DMTC chair’s plan for 2013/14

• encourage TC members and TF Chairs to propose tutorials, workshops, panels, competitions for SSCI 2014 and WCCI 2014

• encourage TC members and TF Chairs to propose special issues on CIS sponsored journals

• foster task force Big Data, foster dedicated symposium CIBD

• foster cross-links of TFs

• foster balance of DMTC, TF members as regards geographic regions and gender

• encourage members to think about new task forces, think about achievable tasks for existing ones