decision treebranch-and-bound algorithmconstraintClassification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each class that can be used to classify subsequent records. A number of ...
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...
Ontology building, data mining, decision tree 1. Introduction Data Mining is the process of finding and extracting new and potentially useful knowledge from data. Data mining is also known as Knowledge discovery in databases (KDD). The terms “Data mining” and “Knowledge discovery in database”...
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. ...
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 ...
Parent topic: Database Modeling with Oracle Data Mining Related information: Oracle Naive Bayes Oracle Adaptive Bayes Oracle Support Vector Machine (SVM) Oracle Decision Tree Oracle O-Cluster Oracle k-Means Oracle Apriori Oracle Minimum Description Length (MDL) Oracle Nonnegative Matrix Factorization ...
Providesasimpleandconciseviewofparticularsubject issuesbyexcludingdatathatarenotusefulinthe decisionsupportprocess. DataWarehouseUsage Threekindsofdatawarehouseapplications Informationprocessing supportsquerying,basicstatisticalanalysis,andreporting usingcross-tables,tables,chartsandgraphs Analyticalprocessing multidimensionalan...
interested in a decision tree algorithm from Vendor A and has built the data mining application based on Vendor A’s package. Later on, the customer finds the time series algorithm from vendor B is also very attractive for prediction tasks. He now faces a ...
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 integrated. In two articles the authors will discuss the merits of interactive model building. In thi...
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 ...