posted by user: masciari || 2919 views || tracked by 17 users: [display]

SI-MCP 2015 : Special Issue on Recent Advances in Mining Patterns from Complex Data - Journal of Intelligent Information System

FacebookTwitterLinkedInGoogle

Link: http://www.di.uniba.it/~loglisci/NFmcp2014/journal.html
 
When N/A
Where N/A
Submission Deadline Jul 31, 2015
Notification Due Oct 15, 2015
Final Version Due Nov 15, 2015
Categories    journal special issue   data mining   comple patterns
 

Call For Papers

Call for Papers
Special Issue on Recent Advances in Mining Patterns from Complex Data
(http://www.di.uniba.it/~loglisci/NFmcp2014/journal.html)
Journal of Intelligent Information System
(https://www.editorialmanager.com/jiis/default.aspx)


Scope and Background

Mining Complex Data refers to an advanced research field of knowldedge discovery and data mining concerning the development and analysis of methods for discovering patterns and models from data with a complex structure (e.g. multi-relational data, XML data, web data, time series and sequences, graphs and trees). Complex data pose new challenges for current research in data mining and knowledge discovery as they require new methods for storing, managing and analysing them.

We welcome submissions focusing on recent advances and latest developments in the analysis of complex data sources such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. Submissions discussing and introducing new algorithmic foundations and representation formalisms in pattern discovery are also welcome. Finally, we encourage submissions from the areas of statistics and machine learning, which present advanced techniques that take advantage of the informative richness of complex data for identifying, efficiently and effectively, new patterns.


Topics of interest
An indicative non-exhaustive list of topics includes

• Big data analytics
• Foundations on pattern mining, pattern usage, and pattern understanding
• Mining stream, time-series and sequence data
• Mining networks and graphs
• Mining biological data
• Mining dynamic and evolving data
• Mining environmental and scientific data
• Mining heterogeneous and ubiquitous data
• Mining multimedia data
• Mining multi-relational data
• Mining semi-structured and unstructured data
• Mining spatio-temporal data
• Social Media Analytics
• Workflow and Process Mining
• Ontology and metadata
• Privacy preserving mining
• Semantic Web and Knowledge Databases
• Structured Output Prediction

Schedule
Submission deadline: 31 July 2015
First review results: 15 October 2015
Revised papers due: 15 November 2015
Final selection: 15 January 2016
Publication: Springer 2016 (planned)


Submission

Authors should submit their paper by using s EM system for JIIS (https://www.editorialmanager.com/jiis/default.aspx) and selecting article type "Recent Advances in Mining Patterns from Complex Data".

Guest editors

Annalisa Appice University of Bari "Aldo Moro", Bari, Italy
Michelangelo Ceci University of Bari "Aldo Moro", Bari, Italy
Corrado Loglisci University of Bari "Aldo Moro", Bari, Italy
Giuseppe Manco ICAR-CNR, Rende, Italy
Elio Masciari ICAR-CNR, Rende, Italy

Related Resources

CAIP 2017   Computer Analysis of Images and Patterns
SDM 2018   SIAM International Conference on Data Mining
Recent Advances in Social Media 2017   Social Media: Recent Advances in Applications, Monitoring and Analytics
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
IEEE TETC SI 2017   IEEE Transactions on Emerging Topics in Computing, Special Issue on Scholarly Big Data
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
UMUAI SI 2018   UMUAI SI on Multimodal Learning Analytics & Personalized Support Across Spaces
AIAI 2018   14th Artificial Intelligence Applications and Innovations 2018
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”