نتایج جستجو برای: spatial data mining
تعداد نتایج: 2696778 فیلتر نتایج به سال:
Spatial data mining is the task of discovering knowledge from spatial data. Density-Based Spatial Clustering occupies an important position in spatial data mining task. This paper presents a detailed survey of density-based spatial clustering of data. The various algorithms are described based on DBSCAN comparing them on the basis of various attributes and different pitfalls. The advantages and...
Spatial Data mining is one of the challenging field in data mining. The explosive development of spatial data and common use of spatial databases highlight the need for the automated detection of spatial knowledge. Computing data mining algorithms such as clustering on massive spatial data sets is still not feasible nor efficient today. In this research first we 1 / 4
(odm ( organization data mining به عنوان ابزار استخراج دانش اتکاپذیری ازداده ها تعریف شده است و فن آوری است که فرایند تصمیم گیری رابوسیله ی دگرگون ساختن داده ها به سوی دانش ارزشمند درجهت کسب یک مزیت رقابتی سوق می دهد و بعنوان شیوه بکاربردن ابزارهای داده کاوی تعریف شده است . با توجه به اینکه سازمان ها ، داده های تجاری بسیاری رادر تصرف خوددارند بافلج ساختن اطلاعات یک چالش کلیدی درتصمیم گیری تشکیل...
The rapid proliferation of data has lead to the necessity of big data. However the volume of big data is constantly growing. Big data comprises of extremely large data sets which are beyond the scope of management offered by commonly used software. Big Data mining can be described as a set of techniques and technologies used for extracting useful information from these large datasets or streams...
Data mining is the process of extracting non-trivial patterns from large volumes of data. It generates insight and turns the data into valuable information. A critical yet common flaw when performing data mining is to disregard the geographic origin of the data. When this geospatial attribute is taken into consideration, the process is called geospatial data mining. This task essentially deals ...
Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more important to identify and map problems than facts. Until now, chorems were made manually by geographers based on the own knowledge of the territory. So, an international project was launched in order to automatically discove...
Active engagement in the subject material has been strongly linked to deeper learning. In traditional teaching environments, even though the student might be presented with new concepts, it is possible for the student to remain passive to such an extent that it is detrimental to learning. This research explores whether experiencing new concepts in an ITS necessarily equates to learning. Initial...
Spatial data mining is a process to discover interesting and potentially useful spatial patterns embedded in spatial databases. EEcient tools for extracting information from spatial data sets can be of importance to organizations which own, generate and manage large geo-spatial data sets. The current approach towards solving spatial data mining problems is to use classical data mining tools aft...
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