posted by organizer: Vzt15 || 1517 views || tracked by 6 users: [display]

IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management


When May 22, 2016 - May 26, 2016
Where Valencia, Spain
Submission Deadline Feb 5, 2016
Notification Due Feb 29, 2016
Final Version Due Apr 12, 2016
Categories    data mining   data management   information retrieval   databases

Call For Papers

1st CfP: IMMM 2016 and DATASETS 2016 || May 22 - 26, 2016 - Valencia, Spain



Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- IMMM 2016, The Sixth International Conference on Advances in Information Mining and Management

- DATASETS 2016, The International Symposium on Designing, Validating, and Using Datasets

The submission deadline is January 26, 2016.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals:


============== IMMM 2016 | DATASETS 2016 | Call for Papers ===============


IMMM 2016, The Sixth International Conference on Advances in Information Mining and Management

General page:

Submission page:

DATASETS 2016, The International Symposium on Designing, Validating, and Using Datasets

General page:

Submission page:

Events schedule: May 22 - 26, 2016 - Valencia, Spain


- 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]

- presentations: slide only [slide-deck posted at]

- demos: two pages [posted at]

- doctoral forum submissions: [in the proceedings, digital library]

Proposals for:

- mini symposia: see

- workshops: see

- tutorials: [slide-deck posed on]

- panels: [slide-deck posed on]

Submission deadline: January 5, 2016

Sponsored by IARIA,

Extended versions of selected papers will be published in IARIA Journals:

Print proceedings will be available via Curran Associates, Inc.:

Articles will be archived in the free access ThinkMind Digital Library:

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 comply with the editorial rules:

IMMM 2016 Topics (for topics and submission details: see CfP on the site)

Call for Papers:


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

DATASETS 2016 Topics (for topics and submission details: see CfP on the site)




The anatomy of designing Datasets

Designing context-based Datasets

Metadata for Datasets

Challenges in designing very large Datasets

Updatable and updating Datasets

Reference Datasets

Datasets families

Repositories of Datasets

Criteria for selecting appropriate Datasets


Public and private Datasets

Open Datasets

Big Data and Datasets

Trusted Datasets

Mining massive Datasets


Testing and validating Datasets

Pitfalls with Datasets

Reputation of Datasets

Accuracy estimation of Datasets

Data links in Datasets


Context-aware Datasets in the Internet of Things

Datasets for data mining

Datasets used in statistics and machine learning

Online Datasets on collective behavior

Datasets for analytics and knowledge discovery

Regression Datasets

Climate Datasets

Gene Datasets

Health Datasets

Economic Datasets

Social Datasets

Transportation Datasets

Urban Datasets

Education/scholar Datasets


IMMM 2016 Committee:

DATASETS 2016 Committee:

Related Resources

CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
ICIEM 2016   International Conference on Integrated Environmental Management for Sustainable Development
SIGIR 2017   The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
pehealth 2016   The 1st Pacific Rim International Workshop on eHealth Mining (PeHealth)
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
IJE 2016   International Journal of Education
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
IPMU 2018   17th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference
ICISDM 2017   2017 International Conference on Information System and Data Mining (ICISDM 2017)-SCOPUS, Ei Compendex