A Statistical Toolbox For Mining And Modeling Spatial Data
نویسندگان
چکیده
منابع مشابه
Automated Statistical Modeling for Data Mining
We seek to bridge the gap between basic statistical data mining tools and advanced statistical analysis software that requires an expert operator. In this paper, we explore the automation of the process of statistical data analysis via model scoring functions and search algorithms through the space of statistical models. In particular, we focus on automated modeling using generalized linear sta...
متن کاملModeling Spatial Dependencies for Mining Geospatial Data
Widespread use of spatial databases[24] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[14, 17, 10, 22]. Efficient tools for extracting information from geo-spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial data sets. These organizations are spread across many domains including ecolo...
متن کاملCredit Card Fraud Detection using Data mining and Statistical Methods
Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...
متن کاملA Modeling Toolbox and Its Applications to Statistical Process Modeling
Analyzing data that are measured or collected in processes requires statistical software. Most methods for analysis use a regression approach or its expanded forms such as polynomial and response surface models. However, the available commercial programs are inconvenient and costly for personal use, and require demanding pre-training in using them. A simple and user-friendly interface program a...
متن کاملSTING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of spatial data and to the new conceptual nature of the problems which must account for spatial distance. Clustering and region oriented queries are common problems in this domain. Several approaches have been presented in...
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: Comparative Economic Research. Central and Eastern Europe
سال: 2017
ISSN: 2082-6737,1508-2008
DOI: 10.1515/cer-2016-0035