An Architecture Framework For Spatiotemporal Data Mining System
نویسندگان
چکیده
منابع مشابه
An Architecture Framework for Spatiotemporal Data Mining System
Spatiotemporal data mining is an emerging area of research. Applications for mining different kinds of spatiotemporal patterns and trends are being developed by researchers in various domains. However, there is a need for underlying architecture framework for these applications to provide reusability of analysis and design. This research paper addresses such a requirement by adopting conceptual...
متن کاملA Knowledge Discovery Framework for Spatiotemporal Data Mining
With the explosive increase in the generation and utilization of spatiotemporal data sets, many research efforts have been focused on the efficient handling of the large volume of spatiotemporal sets. With the remarkable growth of ubiquitous computing technology, mining from the huge volume of spatiotemporal data sets is regarded as a core technology which can provide real world applications wi...
متن کاملVisual Data Mining System Architecture
In this report we present the architecture of the overall data mining system and detail the main functionalities of its visual interface. The semantics of the visual operators is formally given in terms of the language of the corresponding mining techniques, namely metarules, association rules, clustering, approximate similarity queries.
متن کاملDesigning an intelligent system for predicting chromosomal genetic diseases using data mining
Background and Aim: Today we are witnessing tremendous advances in medical data mining. The data, by analyzing and discovering the relationships between them, can lead to algorithms that help us prevent or treat many diseases. Meanwhile, genetic diseases have attracted a large part of the attention of the medical world because the birth of children with genetic disorders imposes a great financi...
متن کاملDesigning an intelligent system for diagnosing type 2 diabetes using the data mining approach: brief report
Background: Diabetes mellitus has several complications. The Late diagnosis of diabetes in people leads to the spread of complications. Therefore, this study has been done to determine the possibility of predicting diabetes type 2 by using data mining techniques. Methods: This is a descriptive-analytic study that was conducted as a cross-sectional study. The study population included people re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Software Engineering & Applications
سال: 2012
ISSN: 0976-2221
DOI: 10.5121/ijsea.2012.3511