Data Mining
WIT Press (Verlag)
978-1-84564-081-1 (ISBN)
During this last year we have witnessed the growth of the European Union's interest for data mining, especially when applied to unstructured data (eg. text mining). This is the proof that data mining is surely seen not only as an exciting research area but also as a technology that may solve current European citizens' delicate problems such as security. But the interest and appreciation of the European Union is also shown through the 2007 European ICT Prize that this year has been awarded for the first time to a text mining company.With papers presented at the eighth International Conference on Data Mining, this volume contains intriguing areas of research including: categorisation methods, data preparation, enterprise information systems, mining environmental and geospatial data, text mining, applications in business, industry and government, customer relationship management, and national security.
Section 1: Categorisation methods A generalized algebraic approach to finding rough set approximations and generating logic rules; Implications of frequent subtree mining using hybrid support definition; A comparison of bio-inspired metaheuristic approaches in classification tasks Section 2: Data preparation Three dimensional terrain data compression using second generation wavelets; Identifying character non-independence in phylogenetic data using parallelized rule induction from coverings; Implementation and performance assessment of a parallel solver for sparse linear systems of equations and rules for optimal solution; Genetic Algorithms in a dynamically changing environment; Defining logic structures in functional spaces; Performance assessment of parallel techniques Section 3: Enterprise information systems A decision support methodology to rank Information Technology projects; The double wave data warehouse lifecycle model; A simple approach to temporal data in relational DBMS; SCADA "Supervisory Control And Data Acquisition" implementation in "Sui Northern Gas Pipelines Limited Pakistan" (SNGPL) Section 4: Mining environmental and geospatial data Mining geospatial data in a transductive setting; Remote sensing and US crop insurance program integrity: data mining satellite and agricultural data Section 5: Text mining Protein Ontology Project: 2007 updates; Internet search mechanisms and distortions of the semantic space: the scientific challenges facing the "Googles"; Performance of information retrieval models using term co-occurrences; Data mining: an automatic tool for retrieval of data from a system's requirements Section 6: Applications in business, industry and government Creating trading signals using swarm technology; Knowledge representation in our systems; Knowledge discovery in a circle of trust; Self-regulated learning strategies and computer self-efficacy in IT courses; Physicians' Internet use: diffusion through compatibility and observability; A market-led approach to female student recruitment onto computing-related courses; A re-examination of volatility spillovers in European government bond markets using a multi-objective artificial network; Distributed knowledge-based medical system for data assimilation and analysis Section 7: Customer relationship management Estimation of the customer mean survival time in subscription-based businesses; Grid-based data mining for market basket analysis in the retail sector; Customer survival time in subscription-based businesses (case of Internet service providers) Section 8: National security Money laundering, terrorist financing and how to contrast them: data and text mining in business intelligence solutions; A multilanguage platform for Open Source Intelligence; More security and autonomy for users: encryption system with evolutive key
Erscheint lt. Verlag | 12.6.2007 |
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Reihe/Serie | WIT Transactions on Information and Communication Technologies ; No. 38 |
Zusatzinfo | Illustrations |
Verlagsort | Southampton |
Sprache | englisch |
Maße | 155 x 230 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
ISBN-10 | 1-84564-081-0 / 1845640810 |
ISBN-13 | 978-1-84564-081-1 / 9781845640811 |
Zustand | Neuware |
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