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Information Systems, Technology and Management Third International Conference, ICISTM 2009, Ghaziabad, India, March 12-13, 2009, Proceedings

:	Sushil K. Prasad, Susmi Routray, Reema Khurana, Sartaj Sahni
:	Information Systems, Technology and Management Third International Conference, ICISTM 2009, Ghaziabad, India, March 12-13, 2009, Proceedings
:	Springer-Verlag
:	9783642004056
:	1
:	CHF 27.10
:

:	Sonstiges
:	English

:	381
:	DRM
:	PC/MAC/eReader/Tablet
:	PDF

This book constitutes the refereed proceedings of the Third International Conference on Information Systems, Technology and Management, ICISTM 2009, held in Ghaziabad, India, in March 2009 The 30 revised full papers presented together with 4 keynote papers were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on storage and retrieval systems, data mining and classification, managing digital goods and services, scheduling and distributed systems, advances in software engineering, case studies in information management, algorithms and workflows, authentication and detection systems, recommendation and negotiation, secure and multimedia systems, as well as 14 extended poster abstracts.

	Preface	5
	Organization	7
	Table of Contents	11
	Keynotes	11
	Embedded Sensor Networks	16
	Future of Software Engineering	17
	Seeing beyond Computer Science and Software Engineering	18
	System on Mobile Devices Middleware: Thinking beyond Basic Phones and PDAs	19
	Session 1. Storage and Retrieval Systems	11
	A Reduced Lattice Greedy Algorithm for Selecting Materialized Views	21
	Introduction	21
	Greedy Based Algorithms	22
	Algorithm HRU	23
	Algorithm RLGA	24
	Complexity Analysis – RLGA	26
	An Example	27
	Comparison – RLGA vs. HRU	28
	Conclusion	32
	References	32
	Improving Expression Power in Modeling OLAP Hierarchies	34
	Introduction	34
	Related Work	35
	Motivating Example	36
	The MultiDim Model	37
	Hierarchies: Their Representation and Implementation	39
	Balanced Hierarchies	39
	Unbalanced Hierarchies	39
	Recursive Hierarchies	40
	Non-covering Hierarchies	41
	Non-strict Hierarchies	42
	Alternative Hierarchies	43
	Parallel Hierarchies	44
	Conclusions	44
	References	45
	A Hybrid Information Retrieval System for Medical Field Using MeSH Ontology	46
	Introduction	46
	Related Work	47
	Proposed Approach	49
	Applying Classic Information Retrieval Techniques to the Corpus	49
	Semantic Annotation of Documents	49
	Semantic Retrieval Algorithm	49
	Combining Semantic and Syntactic Approaches	51
	Experiment and Results	51
	Discussion	53
	Conclusion and Future Work	54
	References	54
	Session 2. Data Mining and Classification	11
	Mining Rare Events Data for Assessing Customer Attrition Risk	56
	Introduction	56
	Data Structure for Events Prediction	57
	Case-Based Sampling	58
	Predictive Modeling	59
	Results	60
	References	61
	Extraction and Classification of Emotions for Business Research	62
	Introduction and Related Work	62
	An Overview of Happiness Extraction	62
	Classification	63
	Conclusion and Future Work	67
	References	68
	Data Shrinking Based Feature Ranking for Protein Classification	69
	Introduction	69
	Related Work	71
	Methodology	71
	Data Shrinking	72
	Proposed Shrinking Method	72
	Proposed Feature Selection Method	75
	Experiments and Results	76
	Comparative Study	76
	Conclusion	77
	References	77
	Session 3. Managing Digital Goods and Services	11
	Value-Based Risk Management for Web Information Goods	79
	Introduction	79
	Related Work	80
	Business Models	80
	Information Goods	82
	Value-Based Risk Identification	82
	Risks Present after Transferring Right and Custody	83
	Risks Associated with the Transfer of Custody	84
	Risks Associated with Value Object Features	84
	Risk Mitigation Instruments	85
	Mitigating Risks Present after Transfer of Right and Custody	86
	Mitigating Risks Associated with the Transfer of Custody	87
	Mitigating Risks Associated with Value Object Features	87
	Identifying New Processes	88
	Conclusion	89
	References	90
	Quality and Business Offer Driven Selection of Web Services for Compositions	91
	Introduction	91
	Related Work	92
	QoS of Web Services	92
	QoS Aggregation for the Composition Patterns	93
	Motivating Example	93
	Business Offer Model for Web Services	94
	Value Based Business Offers	94
	Commodity Based Business Offers	94
	Conditional and Probabilistic Business Offers	94
	Composition Requirements on QoS and Business Offers	95
	Composition Requirements	95
	Composition Requirement Modeling	95
	Broker Based Architecture for Compositions	96
	Roles and Operations	96
	Component Interactions	97
	The Service Selection Model for Compositions	98
	Evaluation of Business Offers	98
	Business Offer (BO) Aggregation	98
	Composition Structure	98
	The Selection Algorithm	99
	QoS and BO Computation	99
	Illustration for Selection	100
	Conclusion	101
	References	102
	Managing Sustainability with the Support of Business Intelligence Methods and Tools	103
	Introduction	103
	Sustainability and CSR Issues	104
	BI (Business Intelligence) Methods and Tools	105
	Looking for Information Planning Methods That Integrate Sustainability	106
	Research Approach	107
	Cases Selection	108
	Data Collection	108
	Data Analysis	109
	Research Results from a Grounded Theory Approach	109