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Mobile crushers can also be called mobile crushing plants, mobile crushers, etc. It is an inevitable product of high-tech crushing technology in the new era, and its main features are that it can be operated mobilely, can walk freely, and is more convenient for transitions, ensuring that the equipment While the production is safe, the work process is more reliable.
·papers on data mining experiences and lessons learned they are quite rare especially in the research community The purpose of this paper is to begin to fill in the gap between data mining methods and the practice of data mining This paper describes many of the experiences of the author as a
research and development 1 Introduction Data mining is a collection of techniques that apply to large and complex databases [1] To eradicate randomness and discover concealed patterns [2] Methods of data mining are also computationally intensive To discover trends in the data we use data mining instruments methodologies and theories
·Data mining is a method for extracting information from enormous amounts of data Data mining also known as knowledge discovery from data is the swift and straightforward detection of patterns
·This paper proposes a modern method to develop a service oriented architecture for the weather information systems which forecast weather using these data mining techniques
·The aim of this paper is twofold; firstly we exp lore and investigate the data mining bas ed diagnosis and prediction solutions in the field of glycemic control for diabetes Secon dly in the
This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets Fuzzy Sets Data Mining and Granular Computing RSFDGrC 2009 held in Delhi India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence PReMI 2009
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·Purpose Data mining has been used to help discover Frequent patterns in health data it is widely used to diagnose and prevent various diseases and to obtain the causes and factors affecting diseases
·This paper is the proposal of a model that is used to develop a platform independent application for hand held devices for the data mining related to any domain called as Mobile Data Mining System
·In this paper we investigate the application of data mining methods to provide learners with real time adaptive feedback on the nature and patterns of their on line communication while learning
·Application of data mining techniques to the World Wide Web referred to as Web mining has been the focus of several recent research projects and papers
·In this paper there is an extent review and summary of Big Data Mining techniqueswith the most common data mining algorithms suitable to be used to handle large datasets
·A variety of researches focusing on knowledge view technique view and application view can be found in the literature However no previous effort has been made to review the different views of data mining in a systematic way especially in nowadays big data [5 7]; mobile internet and Internet of Things [8 10] grow rapidly and some data mining
·Big data which is defined as complex and massive amounts of data that represent human behaviour is collected by devices like scanners telephones cameras and social media platforms
·PDF As an interdisciplinary discipline data mining DM is popular in education area especially when examining students learning performances Present paper is designed to justify the
·PDF The prediction of student academic performance has drawn considerable attention in education data mining techniques in education EDM to unravel student modelling activities and
·This paper will discuss the general relationship between data mining tools and data warehousing system especially on how the data needs to be prepared in the data warehouse before being used by a
·Such a research process combining inductive and deductive methods is not new in social science research Grounded Theory is a general method that uses systematic research to generate systematic theory that involves both inductive and deductive phases of research Holton and Walsh 2017 It is a well established research tool that enables researchers to
·Educational Data mining and Learning Analytics An updated survey First author Full name and affiliation; plus email address if corresponding author This paper provides the current state of the art by reviewing the main publications the key milestones the knowledge discovery cycle the main educational environments the specific
Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases Publishes original research papers and practice in data mining and knowledge discovery Provides surveys and tutorials of important areas and techniques Offers detailed descriptions of significant applications
·This research introduces a dynamic data mining process DDMP system based on service oriented architecture SOA Each activity in data mining process is viewed as a Web service operated on Internet
·This research investigates the fundamentals of data mining and current research on integrating uncertainty into data mining in an effort to develop new techniques for incorporating uncertainty management in data mining INTRODUCTION What is data mining Briefly speaking data mining refers to extracting useful information from vast amounts of data
·Data mining is the process of extracting potentially useful information from data sets It uses a suite of methods to organise examine and combine large data sets including machine learning
5 ·Read the latest Research articles in Data mining from Scientific Reports
·Data mining help regular databases to perform faster They also help to increase the profit because of the correct decisions made with the help of data mining This paper shows the various steps performed during the process of data mining and how it can be used by various industries to get better answers from huge amount of data
·In this research paper we used the orange data mining tool for finding the patterns and then these patterns are recognized in the user data Experimental results are presented for both real and
