application of clustering in customer segmentation of mobile communication enterprise.It discusses the basic theory,customer segmentation methods and steps,the customer segmentation model based on consumption behavior psychology,and the segmentation model is successfully applied to the process of marketing ...
Next, yarn quality was predicted by using data-mining methods containing clustering and artificial neural network (ANN). In order to evaluate the proposed method, the results obtained were compared with conventional methods based on ANN. The results showed that the performance of data-mining ...
A Robust and Scalable Clustering Algorithm for Mixed Type Attributes in Large Database Environment The algorithm is implemented in the commercial data mining tool Clementine 6.0 which supports the PMML standard of data mining model deployment... T Chiu,DP Fang,J Chen,... - Acm Sigkdd Internation...
Clustering has primarily been used as an analytical technique to group unlabeled data for extracting meaningful information. The fact that no clustering algorithm can solve all clustering problems has resulted in the development of several clustering algorithms with diverse applications. We review data clu...
Data mining technique plays a vital role in the analysis of data. Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database system. Unsupervised (clustering) and supervised...
3. Data Mining Engine TheData Mining Engineis the heart of thedata mining architecture, where the actual analysis occurs. It applies various algorithms and techniques to uncover patterns, relationships, and insights from the prepared data. The engine executes tasks such asclassification, clustering,re...
clustering calculations relating to four tourist destinations in Thailand, two already familiar internationally and two less so.Findings – The case study illustrates the use of data mining techniques to unravel the basic pattern of customer enquiries across various attributes, as an input to actionable...
requirement of guiding operation, so the expert system based on the blast furnace experts' knowledge and experience developed rapidly. However, because of the limitation of the experts' knowledge and experience, this paper applied clustering algorithm to the development of blast furnace expert system....
This article proposes a practical and scalable version of the tight clustering algorithm. The tight clustering algorithm provides tight and stable relevant clusters as output while leaving a set of points as noise or scattered points, that would not go i
The application of data mining in the field of education is useful, which can help to improve the teaching quality, make scientific management decision. This paper details the data mining application research in Chinese education through relevant literature by retrieval. It analyses the research status...