Conference Knowledge Extraction and Management
When : 2017-01-23
Where : Grenoble, France
Submission Deadline : 2016-10-14
Categories : Knowledge Management , Data Mining
Conference Knowledge Extraction and Management (EGC 2017)
January 23 - 27, 2017
Grenoble, France
Call For Papers
The conference Knowledge Extraction and Management (CGE) is an annual event bringing together researchers and practitioners from disciplines within the science data and knowledge. These disciplines include machine learning, engineering and knowledge representation, statistics and data analysis, data mining, information systems, databases, semantic web and open data etc ..Processing and integration of data sources and knowledge arise constantly new needs in terms of methods, techniques and tools to acquire the data, classify, integrate, represent, store, index, visualize, interact with them, protect them and especially into useful knowledge, relevant and respectful of our rights.For example, after the multiplication of sources of network data, including web, we are preparing now to diffuse deployment mining and knowledge processing. After connecting people through social networks, which are connected objects that add not only new data sources as well as new processing architectures and knowledge management.The EGC conference is an opportunity to meet the worldwide specialists from academia and industry, private and public, in order to confront the theoretical and practical applications to real data and communicate quality work, d exchange and promote cross-fertilization of ideas through the presentation of recent research, industrial developments and innovative applications.
Topics of Interest
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Fundamentals of extraction and knowledge management
- Supervised learning: learning rules, statistical learning, probabilistic models, methods of sets, regression, evaluation of classifiers, unbalanced classes
- unsupervised learning: methods of partitioning and recovery, hierarchical methods, multi-view, multi-strategy, co-clustering
- method of discovery of patterns and motifs sets: sequences, graphs, tensing.
- Incremental methods of data mining
- robust data mining algorithms to scalability, distributed systems / parallel for data mining
- detection of exceptions, unexpected, anomalies, weak signals.
- maintaining confidentiality and anonymity
- statistical methods in data mining
- Inductive Logic Programming
- Topological learning mathematics varieties
- visual data mining
- analysis of symbolic data Methodological aspects of mining and knowledge management
- acquisition, collection, pre-processing of data filtering, data reduction, selection and editing features
- criteria and evaluation of data quality, knowledge extracted
- data integration (warehouse, OLAP, mediation ...)
- integration of knowledge in the extraction process (ontologies, expertise ...)
- knowledge management and ontology (acquisition, storage, update, interoperability, interconnection, evolution)
- preparation, architecture and data models related to the Web.
- analytical visualization, human-computer interaction in data mining
- traceability, safety and integrity of information and data
- platforms and systems for EDC
- assessment protocols and validation of models from users
- Experimental studies of large data Extraction and knowledge management in emerging areas
- link analysis, online communities, social networks, social media.
- of opinions data mining, dispatches, microblogging
- mobility, geo-location, knowledge discovery and ubiquity, ambient intelligence, sensor networks, Internet of Things
- Big Data and new data processing paradigm: high performance computing, parallelism, distributed systems
- crowdsourcing, behavior modeling
- Data Web searches, extraction for the Semantic Web, multimedia annotation resource for Web, annotation of Web of Things Applications mining and Knowledge Management
- sustainable development, transport and intelligent scene
- Green IT for management and knowledge extraction
- modeling of epidemics, clinical research, medicine, biology
- intrusion detection, fraud prevention, security
- Business briefs, technological, economic intelligence
- recommendation system, e-commerce, online advertising
IMPORTANT DATES
User Name : jerish
Posted 26-07-2016 on 10:36:48 AEDT