August 19th, 2014 
CI2S Enterprise Content Admin IMMM 2015, The Fifth International Conference on Advances in Information Mining and Management
June 21 – 26, 2015 – Brussels, Belgium
General page: http://www.iaria.org/conferenc
Call for Papers: http://www.iaria.org/conferenc
Submission page: http://www.iaria.org/conferenc
Contributions:
– regular papers [in the proceedings, digital library]
– short papers (work in progress) [in the proceedings, digital library]
– ideas: two pages [in the proceedings, digital library]
– extended abstracts: two pages [in the proceedings, digital library]
– posters: two pages [in the proceedings, digital library]
– posters: slide only [slide-deck posted at www.iaria.org]
– presentations: slide only [slide-deck posted at www.iaria.org]
– demos: two pages [posted at www.iaria.org]
– doctoral forum submissions: [in the proceedings, digital library]
Proposals for:
– symposia: see http://www.iaria.org/symposium
– workshops: see http://www.iaria.org/workshop.
– tutorials: [slide-deck posed on www.iaria.org]
– panels: [slide-deck posed on www.iaria.org]
Submission deadline: January 27, 2015
Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/976
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
Please note the Poster and Work in Progress options.
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.
Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorial
IMMM 2015 Topics (topics and submission details: see CfP on the site)
Mining mechanisms and methods
Data mining algorithms; Media adaptive mining; Agent-based mining; Content-based mining; Context-aware mining; Automation of data extraction; Data mining at a large; Domain-driven data mining; Graph-based data mining; Multilabel information; Multimodal mining; Cloud-based mining; Mining using neurocomputing techniques
Mining support
Querying for mining; Questions for digital investigation; Similarity search; User-generated content; Visualizing data mining; Internationalization and localization techniques for profile/context-based visualization
Type of information mining
Concept mining; Process mining; Concept mining; Knowledge mining; Knowledge discovery; Mining image and video; Mining patterns; Opinion mining; Graph mining; Ontology mining; Semantic annotations and mining; Document mining; Spatial mining; Speech mining; Text mining; Web mining; XML data mining
Pervasive information retrieval
Context and location information retrieval; Mobile information retrieval; Geo-information retrieval; Context-aware information retrieval; Access-driven information retrieval; Location-specific information retrieval; Spacial information retrieval; Semantic-driven retrieval
Automated retrieval and mining
Automated information extraction; Agent-based data mining and information discovery; Agent-based knowledge; Datamining-based agents and multi-agent systems; Agent-mining intelligent applications and systems; Automated retrieval of multimedia streams; Automated retrieval from multimedia archives; Automated copyright infringement detection and watermarking; Automated content summarization; Automatic concept detection, categorization, and genre detection; Automatic speech recognition; Automated cross-media linking
Mining features
Dimensionality reduction; Feature weighting; Subset selection; Feature extraction; Feature construction; Data streams and time series; Selection in high-dimensional domains; Multilingual data mining; Multimedia mining; String processing and data mining; Mining association rules; Mining social relationships; Mining linked data; Mining sequential episodes from time series; Mining time-dependent data; Un-supervised data mining; Semi-structured data; Mining location-sensitive data; Concept-drift in data mining
Information mining and management
Data cleaning; Data updating; Segmentation and clustering; Mining transient information; Warehousing; Web syndication; Data filtering and aggregation; Optimal pruning; Data summarization; Knowledge injection, discovery and classification; Uncertainty removal; Managing incompleteness
Mining from specific sources
Bio data mining; Climate data mining; Data mining in medicine and pharmacology; Data mining in special networks (grids, sensors, etc.); Data management for mobile systems; Data management for sensors; Data mining and management for wireless systems; Dynamic network discovery; Mining from multiple sources; Mining personal semantic data; Mining from social networks; Mining from deep web; Mining from Wikipedia
Data management in special environments
Data management in sensor and mobile ad hoc networks; Data management in mobile peer-to-peer networks; Data management for mobile applications; Data management in mobile/temporal social networks; Management of community sensing/participatory sensing data; Managing pervasive data, sensor data streams and user devices; Managing mobile semantic data; Manging data-intensive mobile computing; Management of real-time data; Managing security data streams; Managing Mobile Web 2.0 data; Managing data in mobile clouds; Data replication, migration and dissemination in mobile environments; Web data processing and security on mobile devices; Resource advertising and discovery techniques
Mining evaluation
Statistics on mining; Ranking of mining results; Provenance; Privacy issues; Patterns for mining; Credibility on data mining; Performance of mining information; Data mining and computational intelligence; Intelligent data understanding; Intelligent data analysis
Mining tools and applications
Data mining applications; Data mining tools and enabling software; Interoperability of information mining tools; Applications for large-scale mining; Content segmentation tools (e.g., shot and semantic scene segmentation); Evaluation methods for TV and radio content analysis tools; Tools for data sets and standard resources
Committee: http://www.iaria.org/conferenc
INFONOR
En el año 2014, la V versión de INFONOR-Chile 2014 se llevará a cabo en la ciudad de Iquique los días 12, 13 y 14 de Agosto, correspondiendo su organización a la Facultad de Ingeniería y Arquitectura de la Universidad Arturo Prat, en conjunto con las universidades chilenas de la Macro-Zona Norte del país, asociadas al CRUCH y que incluyen a la Universidad de Tarapacá, Universidad Arturo Prat, Universidad Católica del Norte, Universidad de Antofagasta, y la Universidad de Atacama.
Historia
La primera versión del congreso INFONOR se realizó en la ciudad de Antofagastaentre el 15 y 19 de Noviembre de 2010. La organización fue llevada a cabo por laUniversidad Católica del Norte y se realizó junto con las Jornadas Chilenas de Computación. La segunda se realizó en la ciudad de Copiapó entre el 17 y 19 de Agosto de 2011 bajo la organización de la Universidad de Atacama. En el 2012 el congreso se realizó en la ciudad de Arica organizado por la Universidad de Tarapacá entre el 8 y 19 de Agosto. La versión 2013 del congreso estuvo a cargo de la Universidad Católica del Norte campus Guayacán, Coquimbo entre el 12 y 14 de Agosto.
Este evento tiene su origen en el Simposium de Aplicaciones en Computación e Informática INFONOR, que se llevó a cabo en 11 oportunidades entre 1979 y 1998. Se caracterizó como punto de encuentro internacional entre los profesionales de TI con participación de académicos provenientes de todo el país, profesionales de las principales empresas de la zona norte y numerosos invitados y expositores internacionales.
El congreso INFONOR-Chile es el evento académico/empresarial de ingeniería en computación e informática más importante de la Macro-Zona Norte de Chile.
Este congreso tiene por objetivo presentar y discutir las principales contribuciones científicas en las diversas áreas relacionadas con la ingeniería, ciencia de la computación e informática que son aplicadas en la innovación, mejora y desarrollo de la actividad tecnológica-industrial, que incluye:
- Presentaciones de artículos de carácter científico.
- Presentaciones de trabajos de experiencias empresariales en aplicaciones de TIC’s con énfasis en la Minería.
- Tutoriales y charlas invitadas.
