TY  - CHAP
T1  - Data-Intensive Thinking with DISPEL
T2  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
Y1  - 2013
A1  - Malcolm Atkinson
ED  - Malcolm Atkinson
ED  - Rob Baxter
ED  - Peter Brezany
ED  - Oscar Corcho
ED  - Michelle Galea
ED  - Parsons, Mark
ED  - Snelling, David
ED  - van Hemert, Jano
KW  - Data-Intensive Machines
KW  - Data-Intensive Thinking, Data-intensive Computing
KW  - Dispel
KW  - Distributed Computing
KW  - Knowledge Discovery
AB  - Chapter 4: "Data-intensive thinking with DISPEL", engages the reader with technical issues and solutions, by working through a sequence of examples, building up from a sketch of a solution to a large-scale data challenge. It uses the DISPEL language extensively, introducing its concepts and constructs. It shows how DISPEL may help designers, data-analysts, and engineers develop  solutions to the requirements emerging in any data-intensive application domain. The reader is taken through simple steps initially, this then builds to conceptually complex steps that are necessary to cope with the realities of real data providers, real data, real distributed systems, and long-running processes.
JF  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
PB  - John Wiley & Sons Inc.
ER  - 

TY  - RPRT
T1  - Data-Intensive Research Workshop (15-19 March 2010) Report
Y1  - 2010
A1  - Malcolm Atkinson
A1  - Roure, David De
A1  - van Hemert, Jano
A1  - Shantenu Jha
A1  - Ruth McNally
A1  - Robert Mann
A1  - Stratis Viglas
A1  - Chris Williams
KW  - Data-intensive Computing
KW  - Data-Intensive Machines
KW  - Machine Learning
KW  - Scientific Databases
AB  - We met at the National e-Science Institute in Edinburgh on 15-19 March 2010 to develop our understanding of DIR. Approximately 100 participants (see Appendix A) worked together to develop their own understanding, and we are offering this report as the first step in communicating that to a wider community.  We present this in turns of our developing/emerging understanding of "What is DIR?" and "Why it is important?'". We then review the status of the field, report what the workshop achieved and what remains as open questions.
JF  - National e-Science Centre
PB  - Data-Intensive Research Group, School of Informatics, University of Edinburgh
CY  - Edinburgh
ER  -