Overview of Data Mining-Chapter 1Mark F. HornickErik MarcadéSunil Venkayala
This section provides an overview of the database objects. Where relevant, it is also indicated whether the database object is part of the SQL/MM standard. Tables Data types Mining field types Mining data methods Logical data specification methods ...
Data Mining for Gold- Finding Buried Treasure in Unit Log Books The use of standard terminologies is an essential component for using data to inform practice and conduct research; perinatal nursing data standardization is needed. This study explored whether 76 distinct process elements important for ...
Journal of Computer Science and Technology . 1998 (4)Jianhua Fan,and Deyi Li.An overview of data mining and knowledge discovery.J.of comput.sci.&... 范建华,李德毅 - 《Journal of Computer Science\s&\stechnology》 被引量: 103发表: 1998年 An overview of quantum computation models: Quantum...
oracle.dmt.jdm.featureextractionThis package contains Java classes describing the settings and model for the feature extraction mining function Feature Extraction analysis has been used in text analysis and the extraction of text features of the text.consumer behavior for the discovery of relationships ...
J Kleinberg - 《Data Mining & Knowledge Discovery》 被引量: 2505发表: 2003年 Cognitive neuroscience of emotional memory. Emotional events often attain a privileged status in memory. Cognitive neuroscientists have begun to elucidate the psychological and neural mechanisms unde... LaBar,Kevin,S.,.....
Data mining modelsare core to the concept of data mining and are virtual structures representing data grouped for predictive analysis. At first glance, mining models might appear to be very similar to data tables, but this is not the case. Tables are used to represent actual collections of dat...
Data mining: An overview from a database perspective. Provides information on data mining techniques developed in several research communities. Classification of available databases to be mined; Requirements a... Chen,Ming-Syan,Han,... - 《IEEE Transactions on Knowledge & Data Engineering》 被引量...
Fig.1according to Google Trends data over the last 5 years [36]. In addition to data science, we have also shown the popularity trends of the relevant areas such as “Data analytics”, “Data mining”, “Big data”, “Machine learning” in the figure. According to Fig.1, the popularit...
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles and animals. Many techniques have been proposed for processing, managing and mining trajectory data...