My research interests are focussed on KDD (Knowledge Discovery in Databases) and more specifically Data Mining. I have been conducting research in the field of KDD since 1997 (prior to this my research interests were in AI). The initial work was on Association Rule Mining (ARM). This foundation was subsequently extended in a number of directions: Distributed/Parallel ARM, Very large scale ARM and Classification ARM (or CARM). Current work is directed at the wider application of data mining:

1. Multi Agent Data Mining (MADM), or Agent Enriched Data Mining (AEDM): The creation of a generic MAS (Multi-Agent System) platform for distributed data mining, both as a research tool and to support applied data mining.
2. Trend Mining and Temporal data mining. Two Applications: (i) trend analysis within patient medical records and (ii) change point detection in animal movement databases.
3. Advanced ARM: The broader application of ARM, such as: weighted ARM, Fuzzy ARM, Utility ARM, Temporal ARM, etc.
4. Web mining and Web Usage Mining: Particularly the identification of WWW site boundaries using a data mining approach.
5. Image mining. Two particular applications: (i) the classification of MRI brain scan data, and (ii) the classification of retina images.
6. Text Mining: Generic text mining algorithms that are independent of the language that text base documents are written in, and rule induction for text mining with dynamic rule refinement.
7. Data mining supported argumentation: Instead of using a knowledge base to support argumentation mine rules as required.
8. Graph Mining: All types of graph mining including (i) weighted graph mining, (ii) distributed graph mining, (iii) large scale graph mining and (iv) applied graph mining.

	I very pleased to have originated the UK KDD symposium series (which is now in its fifth year). UK KDD Symposium (UKKDD'09), University of Salford, Wednesday 22 April 2009. UK KDD Symposium (UKKDD'08), Wednesday 16 April 2008, University of Bristol. UK KDD Symposium (UKKDD'07), Wednesday 25 April 2007, University of Kent. (Poster). Association Rule Mining in The Wider Context of Text, Images and Graphs presentation slides. UK KDD Symposium (UKKDD'06), Wednesday 26 April 2006. (Flyer). UK KDD Symposium (UKKDD'05), Wednesday 6 April 2005.
	I am also very pleased to have been asked to present the Cuba-UK (Liverpool) School of data Mining, a two week seminar series held in Havana, Cuba, in January 2007.
	Upcoming Data Mining Conferences diary.
	I am (or have been) a member of a great Data Mining Conference (workshops and symposia) programme committees: 6th IFIP Intelligent Information Processing Conference. ibia ICDM'10, SIGKDD'09 (Admin), ICDM'09, ADMA'09, DaWak'09, DMIN'09. IEEE ICDM'08, IEEE Workshop on Data Mining and AI (DMAI 2008), ADMA'08, UKKDD'08, DaWak'08, DMIN'08, DEXA'08, ibia ICDM'08, IEEE ICDM'07, DMIN'07, DEXA'07, DaWak'07, ADMA'07,UKKDD'07, IADIS European Conference on Data Mining, IEEE ICDM'06, PMKD'06 Workshop, DMIN'06, DaWak'06, UKKDD'06, DEXA'06, IEEE ICDM'05, UKKDD'05, PMKD'05 Workshop (Philosophies and Methodologies for Knowledge Discovery).
	I am a member of IFIP WG12.2: Machine Learning and Data Mining.
	Opportunities for KDD research (and potential PhD projects).
	Conference reports PKDD 2001.
	Recent KDD (and other) Seminars: Avoiding The Overfit and Prune Cycle in Classification Association Association Rule Mining, presented at University of Salford (Wednesday 14 March 2007). (Other related seminars/tutorials). Getting a PhD (in Computer Science) - Doing Good Research, presented at BCS-SGAI (British Computer Society Specialist Group in AI) Student Event, Cambridge (Monday 10 December 2007). End to End Data Mining: The Next Challenge, presented at ASC, Imperial (Tuesday 21 April 2009). Data Mining: A Gentle Introduction, presented to University of Liverpool Pre-sessional English cohort, 19 August 2009.
	Notes on many aspects of KDD (restricted access).

The LUCS-KDD group has developed a great deal of data mining software of all kinds which we are happy to make available for non-commercial usage.

	Data generators: LUCS-KDD ARM data generator, Random image generator.
	Data preprocessing software: ARM LUCS-KDD-DN, CARM LUCS-KDD-DN.
	Data Sets: UCI-ML Discretised datasets, 20 NewsGroup Sample.
	ARM Software: Apriori-T demo (Demonstrator created for students taking on-line CS programmes), Apriori-T, Apriori-T GUI (Include DIC algorithm and negative boarder ARM approach), TFP (Total From Partial), TFP GUI (Includes FP-growth), FP-growth, Fuzzy ARM, Weighted Fuzzy ARM.
	CARM (and CRM) Software: TFPC, FOIL, PRM and CPAR, CMAR, CBA, Decision Trees.
	Text Mining: TFPC Text Miner (and text preprocessor).

List of my published research papers many of which are available for download.

List of Conferences chaired, or co-chaired; and programme committee memberships, etc. (38 to date!)

Biographies .

E-Mail:

<Coenen@liverpool.ac.uk>

Phone:

+44 151 795 4253

Fax:

+44 151 795 4235

Snail Mail:

Department of Computer Science
School of Computer and Mathematical Sciences
Ashton Building, Ashton St.
University of Liverpool
P.O. Box 147, Liverpool L69 3BX
United Kingdom