Text mining as document search While running their day to day business, organizations encounter textual data. The source of the data could be electronic text, call center logs, social media, corporate documents, research papers, application forms, service notes, emails, etc.
In this blog post, I have discussed the use of LaTeX for writing research papers. I hope that you have enjoyed this blog post. — Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering more than 120 data mining algorithms.
ICDATA, the International Conference on Data Science, is the renamed former International Conference on Data Mining, DMIN, which was held for thirteen years until 2017. In 2018, we renamed the 14th conference on this topic into ICDATA.
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits.
A research paper is any kind of academic writing based on original research which features analysis and interpretation from the author — and it can be a bit overwhelming to begin with! That’s why we created a step-by-step guide on how to write a research paper, where we take you through the academic writing process one manageable piece at a time.
DATA MINING: CONCEPTS, BACKGROUND AND METHODS OF INTEGRATING UNCERTAINTY IN DATA MINING Yihao Li, Southeastern Louisiana University Faculty Advisor: Dr. Theresa Beaubouef, Southeastern Louisiana University ABSTRACT The world is deluged with various kinds of data-scientific data, environmental data, financial data and mathematical data.
Here are some of the topics in computer technology and computer science that you can consider. Hot topics include 1) Data Warehousing, 2) Internet of Things (IoT), 3) Big data, 4) cloud computing, 5) semantic web, 6) MANET, 7) machine learning, 8) Artificial Intelligence, 9) data mining, 10) image processing, 11) bioinformatics, 12) quantum computing, and so on.
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications.