International Journal of Business Intelligence and Data Mining Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal. Foundations and Trends® in Machine Learningįoundations and Trends® in Machine Learning publishes high-quality survey and tutorial monographs of the field using modern techniques to enable both instant linking to the primary research in its electronic form and affordable paper copies, finally delivering on the promise to authors of multiple channel publishing from a single source.Įach issue of Foundations and Trends ® in Machine Learning comprises a 50-100 page monograph written by research leaders in the field. Computational Statistics & Data Analysis by International Association for Statistical Computing (IASC)Ĭomputational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis.
Occasionally the journal may publish whitepapers on policies, standards and best practices. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.
Big Dataīig Data, a highly innovative, peer-reviewed journal, provides a unique forum for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data, including data science, big data infrastructure and analytics, and pervasive computing. The journal welcomes foundational and applied papers describing mature work involving computational accounts of aspects of intelligence. Artificial IntelligenceĪrtificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. PS: We have compiled this list based on a combination of factors including Impact factor of the journal, how relevant, active & up to date the journals are for a data scientist.
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