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 especially in the context of medical applications:

1. Retina Image Mining: Classification of 2D and 3D retina image sets to support screening programmes for conditions such as Age-related Macular Degeneration (AMD).
2. MRI Scan Mining: Classification of 2D and 3D MRI brain scan data according to particular objects that appear within such data (corpus callosum, ventricals, etc.) so as to identify conditions such as epilepsy and handedness.
3. Satellite Image Mining: Objective is to use image minimg techniques to automatically collect sensus data from satellite imagery.
4. Multi Agent Data Mining (MADM), or Agent Enriched Data Mining (AEDM): The creation of a generic MAS (Multi-Agent System) platforms for distributed data mining, both as a research tool and to support applied data mining.
5. Trend Mining and Temporal data mining: Two Applications: (i) trend analysis within patient medical records and (ii) change point detection in animal movement databases (such as DEFRA's cattle movement database).
6. Brand Reputation Mining: The use of sentiment mining techniques to to identify the "polarity" of opinions expressed within electronic media with respect to particular companies and institutions.
7. Web mining and Web Usage Mining: Particularly the identification of WWW site boundaries using data mining techniques.
8. Text Mining: Generic text mining algorithms that are independent of the language that text base documents are written in, and rule induction with negation for text mining with dynamic rule refinement.
9. Questionnaire Mining: The application of data mining algorithms, especially text mining algorithms, to automatically extract information from the free text element of questionnaire data.
10. Data mining supported argumentation: Instead of using a knowledge base to support argumentation work is directed at using classification techniques to support the argumentation process.
11. 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.
12. Advanced ARM: The broader application of ARM, such as: weighted ARM, Fuzzy ARM, Utility ARM, Temporal ARM, etc.

Flyer for download (pdf).

	I am very pleased to have originated the UK KDD symposium series: UK KDD Symposium (UKKDD'11), Friday 23 September 2011, BCS Headquarters, London. UK KDD Symposium (UKKDD'09), Wednesday 22 April 2009, University of Salford. 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 many Data Mining Conference (workshops and symposia) programme committees: ICDM'13, IEEE Big Data, DMO'12 (Data Mining and Optimization), ECML/PKDD'12, PAKDD'12, AI'12, ECML/PKDD'11, ADMI'11, DaWaK'11, AI'11, ICCBR'11 Workshop 6: Argumentation and Case Based Reasoning, ADMA'10, AI'10, DaWaK'10, ICDM'10 (Admin), 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: Image Mining in The Medical Domain, presented at the 6th UK Knowledge and Discovery in Data (UKDDD'11) Symposium, Headquarters of the British Computer Society (BCS), Londnn (Friday 23 September 2011). 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 (18 August 2010). Data Mining in the Medical Domain: A Review of Some Current Work at The University of Liverpool, presented at The Liverpool Medical Imaging Network (LMI-Net) Ophthalmic Imaging Workshop: Imaging Analysis, Automated Grading and Analysis of large Datasets (30 November 2010). PhDs in Computer Science, FAIRS, Cambridge (Monday 13 December 2010). Data Mining: A Gentle Introduction, presented to University of Liverpool Pre-sessional English cohort (Wednesday 17 August 2011).
	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.

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 Electrical Engineering and Computer Science
Ashton Building, Ashton St.
University of Liverpool
P.O. Box 147, Liverpool L69 3BX
United Kingdom