International Journal of Data Mining, Modelling and Management
短名 | IJDMMM |
Journal Impact | 0.31 |
国际分区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(Q4) |
ISSN | 1759-1163, 1759-1171 |
h-index | 16 |
Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security
涉及主题 | 计算机科学人工智能数学机器学习数据挖掘程序设计语言哲学统计操作系统工程类心理学生物语言学经济情报检索物理地理算法 |
出版信息 | 出版商: Inderscience,出版周期: ,期刊类型: journal |
基本数据 | 创刊年份: 2008,原创研究文献占比: 95.00%,自引率:25.00%, Gold OA占比: 0.00% |
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