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 ...
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...
Details the latest image processing algorithms and imaging systems for image recognition with diverse applications to the military; the transportation, aer... H Microdoppler 被引量: 104发表: 2013年 Big data classification H. Tong, "Big Data Classification," in Data Classification: Algorithms and Ap...
Code Issues Pull requests Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas machine-learning awesome deep-learning dataset forecasting classification image-classification awesome-list multi-label-classification series-forecasting Updated Mar 13, 2023 nf...
Cost-sensitive classification is an attractive topic in data mining. Although genetic programming (GP) technique has been applied to general classification, to our knowledge, it has not been exploited to address cost-sensitive classification in the literature, where the costs of misclassification errors...
The basic unit of information collected from social networks in our study is a point-of-interest, which is a specific point location that a considerable group of people find useful or interesting. The POIs are scattered across a myriad of different websites, systems and devices, complicating the...
In this study, we use three data mining classification models to detect factors with the greatest influence on car accidents. Understanding the circumstances in which the drivers and passengers are more likely to be killed or severely injured in an automobile crash is of particular concern in traff...
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...
Defining specific qualities of an item called features is critical in classification. For classification, features extracted from visual objects are employed [20]. ML is a branch of AI, which allows computer systems to learn from input/training data. There are three types of learning: unsupervise...