of Civil Engg., MANIT, BhopalSatanand MishraSciencist, CSIR-AMPRI, Bhopal.International Journal of Scientific Engineering & TechnologyR. Purviya, H. L. Tiwari and S. Mishra, "Application of Clustering Data Minin
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 ...
data miningdecision tree clusteringOne of the most important problems in modern finance is findingefficient ways to summarize and visualize the stock market data togive individuals or institutions useful information about themarket behavior for investment decisions. The enormous amountof valuable data ...
Clustering has primarily been used as an analytical technique to group unlabeled data for extracting meaningful information. The fact that no clustering al
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...
There are two different kinds of clustering: active–passive and active–active. Active–passive clustering means that there are one or more “spare” systems within the cluster that are available in the event that the primary system fails. These spare systems are therefore considered the “seconda...
Finally, the application Clustering is rarely the main object of the studies but plays a minor role in the Consumption sector. However, clustering is often conducted as a pre-processing step within the studies. Moving on to the analysis of the approach category, Fig. 6 shows a shift in the...
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...
Longwall top coal caving technology is one of the main methods of thick coal seam mining in China, and the classification evaluation of top coal cavability in longwall top coal caving working face is of great significance for improving coal recovery. However, the empirical or numerical simulation...
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...