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ICDATA 2020 : 16th International Conference on Data Science
ICDATA 2020 : 16th International Conference on Data Science

ICDATA 2020 : 16th International Conference on Data Science

Las Vegas, NV USA
Event Date: July 27, 2020 - July 30, 2020
Submission Deadline: March 24, 2020
Notification of Acceptance: April 09, 2020
Camera Ready Version Due: May 05, 2020



About

ICDATA’20 is an international conference for academics and practitioners held simultaneously with other joint conferences as part of CSCE’20, the 2020 World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE’20 is one of the largest annual gatherings of researchers and practitioners in computer science, computer engineering and applied computing. Each of the joint conferences in CSCE is a premier conference for presentation of advances in their respective fields, held simultaneously in the same place to facilitate cross-disciplinary knowledge transfer. It is anticipated that CSCE’20 will attract between 1,000 and 2,000 participants from about 75 countries/territories. Participants range from established researchers on Professorial level, starting researchers (post-doc, PhD, Masters and Bachelor level) and contract researchers unto practitioners applying all aspects of data science in private or public companies or research institutions. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations.

ICDATA’20 attendees have full access to all sessions and tutorials of all other conferences‘ sessions, tracks, and planned tutorials (complete list of the 20 joint conferences) as well as to the ICDATA’20 social programme. CSCE is one of the largest annual conferences and promises many opportunities to present your work to an large, interdisciplinary audience and to extend our professional network. Each conference will have its own proceedings which will be indexed.


Call for Papers

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (each with a unique international ISBN number) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data. In addition, like prior years, extended versions of selected papers (about 40%) will appear in journals and edited research books; publishers include, Springer, Elsevier, BMC, and others).

The Congress is composed of a number of tracks (joint-conferences, tutorials, sessions, workshops, poster and panel discussions); all will be held simultaneously, same location and dates: July 27-30, 2020. The complete list of CSCE joint conferences can be found here. ICDATA is part of the Congress.

SCOPE: Submitted papers should be related to Data Science, Data Mining, Machine Learning and similar topics.

Topics of interest include, but are not limited to, the following:

Data Mining/Machine Learning Tasks

  • Regression/Classification
  • Time series forecasting
  • Segmentation/Clustering/Association
  • Deviation and outlier detection
  • Explorative and visual data mining
  • Web mining
  • Mining text and semi-structured data
  • Temporal and spatial data mining
  • Multimedia mining (audio/video)
  • Mining „Big Data“
  • Others

Data Mining Algorithms

  • Artificial neural networks / Deep Learning
  • Fuzzy logic and rough sets
  • Decision trees/rule learners
  • Support vector machines
  • Evolutionary computation/meta heuristics
  • Statistical methods
  • Collaborative filtering
  • Case based reasoning
  • Link and sequence analysis
  • Ensembles/committee approaches
  • Others

Data Mining Integration

  • Mining large scale data/big data
  • Data and knowledge representation
  • Data warehousing and OLAP integration
  • Integration of prior domain knowledge
  • Metadata and ontologies
  • Agent technolog ies for data mining
  • Legal and social aspects of data mining
  • Others

Data Mining Process

  • Data cleaning and preparation
  • Feature selection and transformation
  • Attribute discretisation and encoding
  • Sampling and rebalancing
  • Missing value imputation
  • Model selection/assessment and comparison
  • Induction principles
  • Model interpretation
  • Others

Data Mining Applications

  • Bioinformatics
  • Medicine Data Mining
  • Business / Corporate / Industrial Data Mining
  • Credit Scoring
  • Direct Marketing
  • Database Marketing
  • Engineering Mining
  • Military Data Mining
  • Security Data Mining
  • Social Science Mining
  • Data Mining in Logistics
  • Others

We particularly encourage submissions of industrial applications and case studies from practitioners. These will not be evaluated using solely theoretical research criteria, but will take general interest and presentation into consideration.

Data Mining Software

  • All aspects, modules, frameworks

Alternative and additional examples of possible topics include:

  • Data Mining for Business Intelligence
  • Emerging technologies in data mining
  • Computational performance issues in data mining
  • Data mining in usability
  • Advanced prediction modelling using data mining
  • Data mining and national security
  • Data mining tools
  • Data analysis
  • Data preparation techniques (selection, transformation, and preprocessing)
  • Information extraction methodologies >
  • Clustering algorithms used in data mining
  • Genetic algorithms and categorization techniques used in data mining
  • Data and information integration
  • Microarray design and analysis
  • Privacy-preserving data mining
  • Active data mining
  • Statistical methods used in data mining
  • Multidimensional data
  • Case studies and prototypes
  • Automatic data cleaning
  • Data visualization
  • Theory and practice – knowledge representation and discovery
  • Knowledge Discovery in Databases (KDD)
  • Uncertainty management
  • Data reduction methods
  • Data engineering
  • Content mining
  • Indexing schemes
  • Information retrieval
  • Metadata use and management
  • Multidimensional query languages and query optimization
  • Multimedia information systems
  • Search engine query processing
  • Pattern mining
  • Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government, …)

Algorithms for Big Data

  • Data and Information Fusion
  • Algorithms (including Scalable methods)
  • Natural Language Processing
  • Signal Processing
  • Simulation and Modeling
  • Data-Intensive Computing
  • Parallel Algorithms
  • Testing Methods
  • Multidimensional Big Data
  • Multilinear Subspace Learning
  • Sampling Methodologies
  • Streaming
  • Others

Big Data Fundamentals

  • Novel Computational Methodologies
  • Algorithms for Enhancing Data Quality
  • Models and Frameworks for Big Data
  • Graph Algorithms and Big Data
  • Computational Science
  • Computational Intelligence
  • Others

Infrastructures for Big Data

  • Cloud Based Infrastructures (applications, storage & computing resources)
  • Grid and Stream Computing for Big Data
  • High Performance Computing, Including Parallel & Distributed Processing
  • Autonomic Computing
  • Cyber-infrastructures and System Architectures
  • Programming Models and Environments to Support Big Data
  • Software and Tools for Big Data
  • Big Data Open Platforms
  • Emerging Architectural Frameworks for Big Data
  • Paradigms and Models for Big Data beyond Hadoop/MapReduce, …
  • Others

Big Data Management and Frameworks

  • Database and Web Applications
  • Federated Database Systems
  • Distributed Database Systems
  • Distributed File Systems
  • Distributed Storage Systems
  • Knowledge Management and Engineering
  • Massively Parallel Processing (MPP) Databases
  • Novel Data Models
  • Data Preservation and Provenance
  • Data Protection Methods
  • Data Integrity and Privacy Standards and Policies
  • Data Science
  • Novel Data Management Methods
  • Crowdsourcing
  • Stream Data Management
  • Scientific Data Management
  • Others

Big Data Search

  • Multimedia and Big Data
  • Social Networks
  • Data Science
  • Web Search and Information Extraction
  • Scalable Search Architectures
  • Cleaning Big Data (noise reduction), Acquisition & Integration
  • Visualization Methods for Search
  • Time Series Analysis
  • Recommendation Systems
  • Graph Based Search and Similar Technologies
  • Others

Privacy in the Era of Big Data

  • Cryptography
  • Threat Detection Using Big Data Analytics
  • Privacy Threats of Big Data
  • Privacy Preserving Big Data Collection
  • Intrusion Detection
  • Socio-economical Aspect of Big Data in the Context of Privacy and Security
  • Others

Applications of Big Data

  • Big Data as a Service
  • Big Data Analytics in e-Government and Society
  • Applications in Science, Engineering, Healthcare, Visualization, Business, Education, Security, Humanities, Bioinformatics, Health Informatics, Medicine, Finance, Law, Transportation, Retailing, Telecommunication, all Search-based applications, …
  • Others


Best Deals



Summary

ICDATA 2020 : 16th International Conference on Data Science will take place in Las Vegas, NV USA. It’s a 4 days event starting on Jul 27, 2020 (Monday) and will be winded up on Jul 30, 2020 (Thursday).

ICDATA 2020 falls under the following areas: DATA SCIENCE, DATA MINING, DATA, DATA ENGINEERING, etc. Submissions for this Conference can be made by Mar 24, 2020. Authors can expect the result of submission by Apr 09, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before May 05, 2020 to the official website of the Conference.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the ICDATA 2020

  • Short Name: ICDATA 2020
  • Full Name: 16th International Conference on Data Science
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of ICDATA 2020
  • Event Type: Conference
  • Website Link: http://www.icdata.org/
  • Location/Address: Las Vegas, NV USA


Credits and Sources

[1] ICDATA 2020 : 16th International Conference on Data Science


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