Data mining is the process of extracting hidden analytical information from large databases using multiple algorithms and techniques. Classification technique can be solving several problems in different fields like medicine, industry, business, and science. Basically it involves finding rules that ...
Classification is a widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. Classification is a supervised learning technique in data mining where training data is given to classifier that builds with ...
This field studies the emergent collective intelligence of group of simple agents. possesses anumber of features that are important to computation problem solving.(Freitas and new ACOalgorithm called FRANTIC SRL(Fuzzy Rules from ANT-inspired computation-SimultaneousM Vasantha...
oracle.dmt.jdm.resourceThis package contains OraConnectionFactory calss that can create a DME Connection to Oracle Database. oracle.dmt.jdm.supervisedThis package contains OraTestTask extension class to javax.datamining.supervised.TestTask. oracle.dmt.jdm.supervised.classification ...
A classification scheme in the context of Computer Science refers to a hierarchic system used for organizing documents and/or their records. It is a two-level system that categorizes fields and subfields within the sciences, social sciences, and arts and humanities. The scheme can be applied for...
Networks (ANN), Support Vector Machine (SVM), k-mean clustering and Self Organizing Maps (SOM) with some of the available tools used for classification, sorting and toxicological evaluation of data, clarifying, how data mining and machine learning interact cooperatively to facilitate knowledge ...
However, there is an obvious reason to keep track of the progressions of these algorithms by collating their general algorithmic profiles in terms of design inspirational source, classification based on swarm or evolutionary search concept, existing variation from the original design, and application ...
This is a GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project by 182 users in a period of over three years (from April 2007 to August 2012). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information...
Data mining (DM) models are innovative approaches for detecting patterns, anomalies, and linkages between complicated processes in massive databases, which can be used to forecast future trends. DM models can be categorized as predictive (classification, regression, prediction, and time series analysis...
Using Predictive Modeling and Classification Methods for Single and Overlapping Bead Laser Cladding to Understand Bead Geometry to Process Parameter Relationships. J. Manuf. Sci. Eng. 2016, 138, 051012. [Google Scholar] [CrossRef] Goodarzi, D.M.; Pekkarinen, J.; Salminen, A. Analysis of ...