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Computational Intelligence in Security for Information Systems 2010 Proceedings of the 3rd International Conference on Computational Intelligence in Security for Information Systems (CISIS'10)

:	Ángel Alonso Alvarez, Carlos Redondo Gil, Emilio Corchado, Álvaro Herrero, Ángel Alonso, Carlos Redo
:	Álvaro Herrero, Emilio Corchado, Carlos Redondo Gil, Ángel Alonso Alvarez
:	Computational Intelligence in Security for Information Systems 2010 Proceedings of the 3rd International Conference on Computational Intelligence in Security for Information Systems (CISIS'10)
:	Springer-Verlag
:	9783642166266
:	Advances in Intelligent and Soft Computing
:	1
:	CHF 115.60
:

:	Allgemeines, Lexika
:	English

:	240
:	Wasserzeichen
:	PC/MAC/eReader/Tablet
:	PDF

rd The 3 International Conference on Computational Intelligence in Security for Information Systems (CISIS 2010) provided a broad and interdisciplinary forum to present the most recent developments in several very active scientific areas such as Machine Learning, Infrastructure Protection, Intelligent Methods in Energy and Transportation, Network Security, Biometry, Cryptography, High-performance and Grid Computing, and Industrial Perspective among others. The global purpose of CISIS series of conferences has been to form a broad and interdisciplinary meeting ground offering the opportunity to interact with the leading research team and industries actively involved in the critical area of security, and have a picture of the current solutions adopted in practical domains. This volume of Advances in Intelligence and Soft Computing contains accepted papers presented at CISIS 2010, which was held in León, Spain, on November 11-12, 2010. CISIS 2010 received over 50 technical submissions. After a thorough peer-review process, the International Program Committee - lected 25 papers which are published in this conference proceedings. This allowed the Scientific Committee to verify the vital and crucial nature of the topics - volved in the event, and resulted in an acceptance rate close to 50% of the ori- nally submitted manuscripts.

	Title	1
	Preface	5
	Organization	7
	Contents	13
	Chapter 1 Machine Learning and Intelligence	16
	An Incremental Density-Based Clustering Technique for Large Datasets	17
	Introduction	17
	What Is DBSCAN?	18
	Related Work	19
	Incremental DBSCAN Algorithm	20
	Dataset Sorting	20
	Region Query	20
	Cluster Merging	21
	Computational Complexity	23
	Experimental Details	23
	Conclusion and Future Work	24
	References	24
	BSDT ROC and Cognitive Learning Hypothesis	26
	Introduction	26
	BSDT Coding-Decoding and Performance	27
	BSDT Cognitive Learning Hypothesis	28
	BSDT ROC Fitting Procedure	29
	BSDT ROCs for Patients with Brain Damage	32
	Discussion and Conclusions	33
	References	35
	Evolving Fuzzy Classifier for Data Mining - an Information Retrieval Approach	37
	Introduction	37
	Fuzzy Information Retrieval	38
	Genetic Algorithms and Genetic Programming	39
	GP for the Evolutionary Query Optimization	40
	Genetic Evolution of Fuzzy Classifier	41
	Conclusions	43
	References	44
	Mereotopological Analysis of Formal Concepts in Security Ontologies	45
	Introduction	45
	Knowledge Representation in Security Ontologies	46
	Representability of Security Issues	47
	Ontology Visualization Based on Reasoning Services	48
	Paella Tool	49
	Analysis with Paella of Ontologies on Security	51
	Final Remarks and Future Work	51
	References	52
	Chapter 2 Agents and Multi-Agent Systems	53
	A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment	54
	Introduction	55
	Agents Devoted to Render the Internal and Superficial Defects Maps	56
	Agents Devoted to Develop and Maintain the Learning Context	58
	Agents Devoted to Evaluate the Coils Entering the Pickling Line and to Forecast the Remaining Defects	59
	Conclusions	61
	References	61
	A Distributed Hierarchical Multi-agent Architecture for Detecting Injections in SQL Queries	62
	Introduction	62
	A Multi-agent Architecture for the Detection of SQL Injection	63
	Classifier CBR Agent	65
	Retrieve	66
	Reuse	66
	Revise	67
	Retain	67
	Results and Conclusions	68
	References	69
	Incorporating Temporal Constraints in the Analysis Task of a Hybrid Intelligent IDS	71
	Introduction	71
	MOVICAB-IDS	72
	Time-Bounding the MOVICAB-IDS Analyzer Agents	74
	Temporal Bounded CBR	75
	Integrating TB-CBR into the MOVICAB-IDS Analyzer Agent	76
	Experimental Results	77
	Conclusions	78
	References	78
	Chapter 3 Image, Video and Speech Processing	80
	Performances of Speech Signal Biometric Systems B