ISSN: 2326-9332
ISBN: 978-1-61208-864-8

• Registered: with the Library of Congress of the United States of America (ISSN)
• Free Access: in ThinkMind Digital Library

IMMM 2021 is colocated with the following events as part of DataSys 2021 Congress:

• AICT 2021, The Seventeenth Advanced International Conference on Telecommunications
• ICIW 2021, The Sixteenth International Conference on Internet and Web Applications and Services
• ICIMP 2021, The Sixteenth International Conference on Internet Monitoring and Protection
• SMART 2021, The Tenth International Conference on Smart Cities, Systems, Devices and Technologies
• IMMM 2021, The Eleventh International Conference on Advances in Information Mining and Management
• INFOCOMP 2021, The Eleventh International Conference on Advanced Communications and Computation
• MOBILITY 2021, The Eleventh International Conference on Mobile Services, Resources, and Users
• SPWID 2021, The Seventh International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems
• ACCSE 2021, The Sixth International Conference on Advances in Computation, Communications and Services

IMMM 2021 Steering Committee

（刘安安）An-An Liu Tianjin University China

IMMM 2021 conference tracks:

Trends in mining/retrieving/handling data
Big data and Genome Data; Large scale data retrieval; Graph-modeled Data; Geo-tagged photos; Tractable uncertain data; Data curation workflow analysis; Online data integration services; Streaming/real-time/active; Stream processing at scale; Real-time analytics in the same database; Temporal mining; Temporal pattern discovery; Incrementally mining temporal patterns; Keyword search in large networks; Sequence mining with hierarchies; Phonetic time series; Mining communication motifs in dynamic environments; Approximate queries on string collection; Profiling entities; Data-intensive science using scalable analytics; Data-driven discovery; Composite dynamic-and-static indexing; Differential privacy on correlated data; Massive personal time-series clustering; Persistent data sketching; Stream data cleaning; Dynamic event streams; Out-of-Order data streams; Concept-drifting data streams; Indexing metrics for uncertain data; Mining and forecasting of Big time-series Data; Holistic indexing; Crowd mining; Mining subjective properties on the Web; Data semantics and information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information

Trends in methodologies/architectures/platforms
Scalable classification frameworks; MapReduce over HybriD Clouds; Parallel Database Systems; Spatio-temporal and textual processing platforms; Deep language embedding; Large-Scale machine learning; Fault-tolerance for parallel data processing; Encrypted query processing; Enforcement of data use policies; Big Data industrial systems; Condensed representation; Temporal graphs; Graph summarization; Subspace and spectral methods; Cross-modal correlations; Open annotation data models; Elastic processing of data streams; Interactive data transformation; On-line aggregation; Interactive analysis on Big Data; Crowdsourcing applications; Distributed online tracking; Social graph partitioning methods; Monitoring of co-evolving data streams; Deep packet inspection systems; Ensemble-based data mining platforms; Sensors-oriented time-series prediction systems; Social multimedia as sensors; Sentiment representation systems

Mining mechanisms and methods
Contextual aggregated information retrieval; Aggregated query for workflows; 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

Short video/links scientific content
Apps; Mobile social media; Video production; Innovative video content; Creative process; Dedicated apps;  Special apps for short scientific reports; Techniques for a convincing summary report; Mobile and wearable devices for scientific reports; Combining open space and lab space in scientific reports; Handling inventories of short video scientific reports; Innovative mobile content; Online news; Volatile and just-in-time news; Report authenticity; Copyright and authorship; Ethical aspects; etc.

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; Managing 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

Deadlines:

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).