hierarchical oblique decision treestate transform strategyNowadays the applications in multimedia domain require that the Speech/Music classifier has many other merits in addition to the accuracy, such as short-
Decision trees approach is one of the popular approaches for representing classifiers in data mining. This paper highlights features of current methods for constructing decision tree classifiers. It describes design issues, provides desirable features for a good classifier, summarizes the current approaches...
Three data mining algorithms have been used; RIPPER, C4.5 decision tree, and AdaBoost (Meta algorithm). As a result of applying these algorithms in real diabetes data sets, a prediction model were constructed with high prediction accuracy. In addition, the extracted rules are consistent with ...
A decision tree method for the selection of winding material in power transformers. Journal of Materials Processing Technology, 181: 281–285. Article Google Scholar Ghiaus C (2006). Experimental estimation of building energy performance by robust regression. Energy and Buildings, 38: 582–587. ...
and the relationship between them. In this work we propose a methodology for building ontology based on the output of data mining result. We used c4.5 decision tree algorithm to discover and extract knowledge from structure data. Then we built ontology from the generated decision tree. We repres...
Keywords CRM, analytical CRM, data mining, decision tree, targeting, direct marketing Abstract There is a growing tendency to embed the entire data mining process within a single software solution. These data mining suites have data capture, pre-processing, model building and deployment all ...
In BAS data, hierarchical relationships are often found within dimension tables, e.g., the time dimension includes a natural tree structure rooted on the year attribute, and progressively branching out to months, weeks, days, hours. Other hierarchically structured dimensions typically include ...
Data Considerations Oracle requires that categorical data be stored in a string format (either CHAR or VARCHAR2). As a result,IBM SPSS Modelerwill not allow numeric storage fields with a measurement level ofFlagorNominal(categorical) to be specified as input to ODM models. If necessary, numbers...
55 classified datapoints from Heeren and Fishman’s MI compilation11 into clusters with common attributes leading to distributions of cluster-specific MIs, and proposed a decision tree approach to choose MI values from the appropriate cluster. However, that approach was limited by data availability to...
They found that the decision tree method is suitable for predicting the occupancy presence, supported by Zhao, Lasternas, Lam, Yun, and Loftness (2014), who built the occupant behavior prediction models based on appliance power consumption data in a medium-size office building. The results of ...