DATA MINING, INTRUSION DETECTION, INFORMATION ASSURANCE, AND DATA NETWORKS SECURITY 2006 (OR21)
http://spie.org/Conferences/Calls/06/dss/conferences/index.cfm?fuseaction=OR21
This conference is designed to emphasize the interdisciplinary nature of the fields of data mining that involve processing vast data sets and the security of associated databases and information networks. The conference aims to exploit the synergism among the contributing disciplines and thereby widen the scope for application of these tools to cover the spectrum of applications in aerospace, defense, homeland security, and other civilian / commercial domains. This conference is one of the two being offered under the track "Information Fusion, Data Mining, and Information Networks Security Related Technologies" that reflect the growing emphasis around the globe on various information extraction, fusion, assurance, and security aspects within the broad framework of Information Technologies (IT).
Papers are invited in all areas related to Data Mining, Knowledge Discovery, Machine Learning, Intrusion Detection, Information Assurance, Privacy Protection, and Data Networks Security including, but not limited to the following:
- theoretical foundations of data mining, knowledge discovery, information assurance, privacy protection, and network security
- intrusion detection, information assurance, privacy protection, and data/information networks security
- machine learning and pattern recognition tools including clustering in the context of these applications
- other techniques, as applied to data mining and information assurance, including fuzzy logic, soft computing, rough sets, evolutionary computation, and association rules
- knowledge-based and expert system applications in these fields
- Homeland Defense, counter-terrorism, drug interdiction, and related applications
- industrial and biomedical applications
- national and International Privacy protection issues and technologies in the context of data mining and information sharing
- analysis of data mining techniques for assessment of their privacy protection and security properties
- multispectral, hyperspectral, and ultraspectral imagery data mining and knowledge discovery
- multimedia mining and security including text, image, audio and other sensor data
- mining and security of numeric, symbolic, or mixed format data sources
- relational data mining techniques, social networks / analysis, community generation and group detection
- Internet applications including web security, electronic commerce, web mining, and linguistic data mining
- other real-world applications of these information extraction and security related technologies.
MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2006 (OR22)
http://spie.org/Conferences/Calls/06/dss/conferences/index.cfm?fuseaction=OR22
This conference is designed to highlight the advances being made in the exponentially growing field of multisensor, multisource information fusion and will cover all the different facets of information fusion systems starting from the conceptual design through development, testing, and fielding. It is one of the two conferences offered under the track "Information Fusion, Data Mining, and Information Networks Security Related Technologies" that reflects the growing emphasis around the globe on the Information Fusion and related topics of Information Assurance and Security.
The main objective of the conference will be to promote synergistic exploitation of the ideas from the different areas of endeavor that together constitute the field of information fusion. In particular, the emphasis will be on the triplet: Architectures, Algorithms, and Applications. Papers dealing with intelligent techniques that are relevant to fusion processing are actively sought. Applications from both defense and civilian domains (such as robotics, medicine, and space, as well as those dealing with non-traditional information sources) are welcome to further a fruitful exchange of issues and ideas. Studies dealing with real-world issues, such as computational demands, real-time constraints, and the like are particularly encouraged. Papers that address one or more of the questions of what, where, why, when, and how in the context of multisource information fusion, fall within the scope of the conference.
Areas of interest include but are not limited to:
- multisensor, multisource fusion system architectures
- data, feature, decision, and multilevel fusion
- higher levels of JDL including situation awareness (SA), threat assessment, and impact assessment
- application of SA Techniques to such areas as cyber, tactical, global and asymmetric threats
- multi-classifier fusion, algorithmic processes fusion
- elucidative fusion systems, fusion benefits assessment and prediction, and associated metrics
- multi-look and temporal fusion
- active, passive, and mixed sensor suites as well as non-traditional data/information sources such as databases and HUMINT
- adaptive and self-improving fusion system architectures
- multisensor and distributed sensor system design
- fusion learning in imperfect, imprecise, and incomplete environments
- intelligent techniques for fusion processing
- computational resources optimization
- customized hardware dedicated to fusion applications
- system design and algorithmic issues
- linguistic information fusion, including fusion ontologies and semantic web
- neurophysiologically motivated architectures and applications
- biomedical applications, including ICU patient monitoring, health care, and diagnostics
- Homeland Defense including military and civilian
- other real-world applications such as robotics, mine detection, remote sensing, transportation systems, document analysis, character recognition, identity verification, multisensor intrusion detection and the like.
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