Abstract Data Stream Mining is one of the area gaining lot of practical significance and is progressing at a brisk pace with new methods, methodologies and findings in various applications related to medicine, computer science, bioinformatics and stock market prediction, weather forecast, text, audio and video processing to name a few. Data happens to be the key concern in data mining. With the huge online data generated from several sensors, Internet Relay Chats, Twitter, Face book, Online B...
Abstract Pattern recognition is seen as a major challenge within the field of data mining and knowledge discovery. For the work in this paper, we have analyzed a range of widely used algorithms for finding frequent patterns with the purpose of discovering how these algorithms can be used to obtain frequent patterns over large transactional databases. This has been presented in the form of a comparative study of the following algorithms: Apriori algorithm, Frequent Pattern (FP) Growth algorith...
Abstract Concepts like gentelligent products, smart objects or cyber-physical systems have already proven a high potential especially for decentralized production planning and control. In this context, decentralized communication, new sensor technologies and the increased application of simulation and monitoring systems lead to an enormous increase of manufacturing data. Additionally, a new approach for the assessment of manufacturing quality based on process signals from the machine tool is ...
ABSTRACT The aim of the experiment was to estimate the effect of repeated simultaneous exposures to infrared laser radiation and μT variable magnetic field used in magneto stimulation on pain perception in rats, as well as the involvement of endogenous opioid system in the mechanism of this effect. In experimental group clean-shaven scull of male Wistar rats placed individually in a specially designed plastic chamber were simultaneously exposed to infrared laser radiation (wavelength – ...
