Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research ...
Journal Title:Data Mining And Knowledge Discovery Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application tha...
American Journal of Data Mining and Knowledge Discoverymaintains an Editorial Team of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study. Assoc. Prof. Fahad Alturise ...
Archives of Computational Methods in Engineering9.700Springer1134-3060 Cryptography and Communications1.200Springer1936-2447 Statistical Analysis and Data MiningJohn Wiley & Sons, Ltd1932-1872 International Journal of Computer Assisted Radiology and Surgery2.300Springer1861-6410...
Aims and scope Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theori...
Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fi...
The International Journal of Data Science and Analytics is a pioneering journal in data science and analytics, publishing original and applied research ...
《Data Mining and Knowledge Discovery》共发表31篇文献,掌桥科研收录1999年以来所有《Data Mining and Knowledge Discovery》期刊内所有文献, 期刊刊频为6 issues a year,ISSN为1384-5810,
The terms Data Mining (DM) and Knowledge Discovery in Databases (KDD) have been used interchangeably in practice. Strictly speaking, KDD is the umbrella of the mining process and DM is only a step in KDD. We will follow this distinction in this chapter and present a simple introduction to ...
It can be expected that in the years to come we shall concentrate our efforts more and more on the analysis of the data we acquire from natural or artificial sources and that we shall mine for knowledge from the data so acquired. Data mining and knowledge discovery aim at providing tools ...