The Fourteenth International Conference on Advances in Information Mining and Management

IMMM 2024

April 14, 2024 to April 18, 2024 - Venice, Italy

Deadlines

Submission

Feb 05, 2024

Notification

Feb 23, 2024

Registration

Mar 09, 2024

Camera ready

Mar 14, 2024

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

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA 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 2024 - The Fourteenth International Conference on Advances in Information Mining and Management

April 14, 2024 - April 18, 2024

IMMM 2024
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 (pdf slides or pre-recorded videos).

ISSN: 2326-9332
ISBN: 978-1-68558-148-0

IMMM 2024 is colocated with the following events as part of DataSys 2024 Congress:

  • AICT 2024, The Twentieth Advanced International Conference on Telecommunications
  • ICIW 2024, The Nineteenth International Conference on Internet and Web Applications and Services
  • ICIMP 2024, The Nineteenth International Conference on Internet Monitoring and Protection
  • SMART 2024, The Thirteenth International Conference on Smart Cities, Systems, Devices and Technologies
  • IMMM 2024, The Fourteenth International Conference on Advances in Information Mining and Management
  • INFOCOMP 2024, The Fourteenth International Conference on Advanced Communications and Computation
  • MOBILITY 2024, The Fourteenth International Conference on Mobile Services, Resources, and Users
  • SPWID 2024, The Tenth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems
  • ACCSE 2024, The Ninth International Conference on Advances in Computation, Communications and Services

IMMM 2024 Steering Committee

(刘安安)An-An Liu
Tianjin University
China


Special tracks:

ACVPR: Advancing Computer Vision and Pattern Recognition with Deep Learning
Chairs:
Dr. Mohit Mittal, Shiratech Knowtion GmbH, Germany mittal.mohit02@gmail.com
Dr. Swadha Gupta, Shiratech Knowtion GmbH, Germnay swadhagupta15@gmail.com

IMMM 2024 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

Feb 05, 2024

Notification

Feb 23, 2024

Registration

Mar 09, 2024

Camera ready

Mar 14, 2024

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