Classification in data mining involves classifying a set of data instances into predefined classes. Learn more about its types and features with this blog.
The high ownership cost of mining equipment mean that downtimes are expensive and should be avoided with smart and efficient maintenance planning. Modern mines have large data sets on equipment performance and reliability, from dispatch and manufacturer health monitoring systems, that can be mined for...
This proposal is based on Multiple Classifier Systems (MCS), including Bagging, Stacking, and Random Forest. Models as Naive Bayes, KNN, C4.5, and Multilayer Perceptron are combined to increase the accuracy of the classification task. The experimental results obtained show that Random Forest and ...
Cloud Computing and Multi-Agent Systems: A new Promising Approach for Distributed Data Mining. Proc. of the 34th Int. Conf. on Information Technology ... B Othmane,RSA Hebri - International Conference on Internet Multimedia Computing & Service 被引量: 14发表: 2012年 Multi-agent and Data Mining...
This paper presents a review of 鈥 and classification scheme for 鈥 the literature on the application of data mining techniques for the detection of financ... EWT Ngai,Y Hu,YH Wong,... - 《Decision Support Systems》 被引量: 497发表: 2011年 A Review of Financial Accounting Fraud Detection...
The POIs are scattered across a myriad of different websites, systems and devices, complicating the development of an exhaustive database of such information. There are currently hundreds, if not thousands, of voluntarily generated POI directories on the Web, such as Yahoo! Local,1 Google Places...
Survey of Novel Process for Domain Adaptation and Cost Sensitive Online Classification in Data Mining In the society of machine learning and data mining, online learning and cost-sensitive classification are two topics which are very widely studied. Though those topics are very widely studied but imp...
Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotypin
Embedded Software in Real-Time Signal Processing Systems: Design Technologies GERTGOOSSENS, ...MEMBER, IEEE, inReadings in Hardware/Software Co-Design, 2002 BUse of the Classification Scheme Theclassification schemeintroduced above can be used for different purposes. First of all, it can be used...
The process of modelling from training data, i.e., building up the mapping from observed features/attributes to correctly predict the class from the available data, is called training or learning. Some common classification approaches are Bayesian classification, classification trees, random forest, ...