New York Conferences 2023 - International Conference on Data Analysis
September 1-3, 2023
New York City

Submission Guidelines

We accept files in .docx/.doc/.pdf/Latex Pdf format - as per the call for papers schedule.
Papers should be thoroughly checked and proofread before submission. After you have submitted your article you are unable to make any changes to it during the refereeing process—although if accepted, you will have a chance to make minor revisions after refereeing and before the final submission of your paper.
Formatting Guidelines

Paper content must be original and relevant to one of the many conference topics.
Authors are required to ensure accuracy of quotations, citations, diagrams, maps, and tables.
Figures and tables need to be placed where they are to appear in the text and must be clear and easy to view.
Papers must follow format according to the template which will be sent to accepted papers.
Topics of interest for submission include but are not limited to:

Data Analytics

Architectures for generic sentiment analysis systems Open API for data analytics, In-database analytics Relevant / redundant / obsolete data analytics Simulation applications Sentiment analysis techniques on social media Forecast analytics , Financial risk management , ROI analytics Crawling web services; Cross-database analytics Multi-modal support for data analytics Tools, frameworks and mechanisms for data analytics Nomad analytics , Predictive analytics Analytics visualization Scalable data analytics Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.) Aspect-based analysis , Comparative-sentiment analysis Statistical applications Mass data analytics Storing, dropping and filtering data Document-level analysis , Sentence-level analysis Trust in data analytics Big data analytics, Deep data analytics

Data Management

Database administration and upgrading challenges Mining user logs Algorithms and Programming Techniques Data Exchange, Integration, quality, cleaning and Lineage Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Reputation analytics Agricultural Informatics and Communication Digital Photogrammetry, Remote Sensing, GIS and GPS Homecare analytics Population growth and migration analytics Community Information Systems Remote learning analytics User choice analytics , Branding analytics Utility proximity-search analytics e-governance, e-Commerce, e-business, e-Learning Irrigation Informatics Cyber-threats analytics Survey-based online asset analytics Business analytics Geology analytics , Global climate analytics Malware analytics Computational Economics Neuroinformatics Real-time data management in navigation and mobility Food-borne illness outbreaks analytics Online employment analytics Information Ecology and Knowledge Management Disaster Management