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      1. The Tenth International Conference on Advances in Information Mining and Management

        IMMM 2020

        September 27, 2020 to October 01, 2020 - Lisbon, Portugal

        Deadlines

        Submission

        Jun 15, 2020

        Notification

        Jul 18, 2020

        Registration

        Aug 02, 2020

        Camera ready

        Aug 12, 2020

        Publication

        Published by IARIA XPS Press

        Archived in the free access ThinkMind Digital Library

        Prints available at Curran Associates, Inc.

        Authors of selected papers will be invited to submit extended versions to a IARIA Journal

        Indexing Procedure

        Affiliated Journals

        IMMM 2020 - The Tenth International Conference on Advances in Information Mining and Management

        September 27, 2020 - October 01, 2020

        IMMM 2020
        Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation.

        ISSN: 2326-9332
        ISBN: 978-1-61208-806-8

        IMMM 2020 is colocated with the following events as part of DataSys 2020 Congress:

        • AICT 2020, The Sixteenth Advanced International Conference on Telecommunications
        • ICIW 2020, The Fifteenth International Conference on Internet and Web Applications and Services
        • ICIMP 2020, The Fifteenth International Conference on Internet Monitoring and Protection
        • SMART 2020, The Ninth International Conference on Smart Cities, Systems, Devices and Technologies
        • IMMM 2020, The Tenth International Conference on Advances in Information Mining and Management
        • INFOCOMP 2020, The Tenth International Conference on Advanced Communications and Computation
        • MOBILITY 2020, The Tenth International Conference on Mobile Services, Resources, and Users
        • SPWID 2020, The Sixth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems
        • ACCSE 2020, The Fifth International Conference on Advances in Computation, Communications and Services

        IMMM 2020 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:

        Submission

        Jun 15, 2020

        Notification

        Jul 18, 2020

        Registration

        Aug 02, 2020

        Camera ready

        Aug 12, 2020

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