The tools and technologies of data warehousing, data mining, and other customer relationship management (CRM) techniques afford new opportunities for businesses to act on the concepts of relationship marketing. The old model of "design-build-sell" (a product-oriented view) is being replaced by "sell-build-redesign" (a customer …
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Temporal logic is a branch of formal logic and a simple extension of classical logic. Temporal logic can not only be used as a useful tool for philosophical analysis, but also has important implications for other disciplines such as linguistics, mathematics, and computer science. This article aims to study the development of temporal logic based on data mining …
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Database systems are used in query languages, query processing, optimization, and data models. Recent database system data analytics capabilities that use data mining and warehousing techniques. Data warehousing combines data from multiple sources (heterogeneous) and gathers … See more
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Despite the challenges of urban computing, recent advances in AI-enhanced spatial-temporal data-mining technology provide new chances. We rethink current AI technologies, particularly in knowledge discovery, system-scale spatial-temporal prediction, causality analysis, and intelligent decision-making, to improve the development of urban ...
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Technologies relating with data mining are described, the process of data mining is introduced, the main features are illustrated, and applications of three aspects in the digital library are explored; application meaning is indicated, the key problems of implementation in digital libraries are analyzed. With the rapid development of computer technology and …
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According to a conference paper on free software tools for data mining, the best free offerings include RapidMiner, Weka, R, KNIME, Orange, and scikit-learn. Many of the …
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The big data era of “data-driven schools, analysis, and change education” has arrived, and the technology of data mining was born in the education industry. Based on data mining technology, this study explores English listening prediction strategies and training approaches. Prediction is an effective learning strategy …
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Data mining is the process of analyzing massive volumes of data and gleaning insights that businesses can use to make more informed decisions. By identifying patterns, companies can determine growth …
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After analyzing related theories, design the classification and recognition of Internet literature texts based on data mining technology, and improve the weighting method in the classification to improve. The performance of the text genre is then verified through experiments to improve the effectiveness of the method. The experimental …
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What it is & why it matters. Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of …
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4 Application of Data Mining Technology Based on Weka in Student Management. 4.1 Implementing Data Mining with Weka (1) Introduction to Weka. Weka is a free, open source and non-commercial machine learning and data mining software developed based on Java language. Its full name is Waikato environment for knowledge …
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Data mining is used to identify patterns, correlations and anomalies in large data sets for data analysis. This helps turn raw data into actionable information to make informed business decisions ...
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Abstract. Data mining is a process of extracting knowledge from data. Data mining technology is used to discover large data set model and predict future events according to the model. The most ...
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Wang, Jun Li. Abstract—Aiming at the problems of low accuracy, recall, coverage and push efficiency of university archives business data, a university archives business data push system based on big data mining technology is designed. Firstly, the overall architecture and topological structure of the university archives business data ...
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Data mining technology's basic task is to analyze data, acquire insight into cause and effect, and then predict the future. As a result, the technology is coupled with the enterprises ...
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Data mining technology refers to the use of mathematics, statistics, computer science and other methods to process a large amount of information to obtain useful conclusions and provide valuable ...
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The Meaning and Methods of Data Mining Technology (1) The importance of data mining Data mining was first presented at the 11th World Summit on Technical Knowledge, held in August 1989. Data mining is a method that can value knowledge based on a large number of incomplete, fuzzy, uncertain, random, incomplete, uncertain, …
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3.1. Model Architecture. To apply big data practically to the field of emergency care, it is necessary to establish a smart emergency care system integrating data collection, data mining, data storage, data …
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Intrusion detection process based on data mining technology. 2.2. Mechanical signal processing algorithm model based on dynamic balance test system. The signal useful in the unbalanced vibration signal from the sensor is the fundamental frequency signal [29]. In order to facilitate the theoretical analysis of the following extraction …
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Based on the learning behavior data of college students, this paper uses BP neural network, a data mining method, to predict their comprehensive evaluation results. The results show that there is ...
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Data mining refers to extracting or mining knowledge from large amounts of data. In other words, Data mining is the science, art, and technology of discovering large and complex bodies of data in order to …
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Data mining algorithms can process target data and extract useful hidden information, which is helpful for decision making. However, current mining algorithms have some shortcomings such as time-consuming processing of big data or inability to process massive data. Since data mining technology cannot be used in the traditional cloud …
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Data mining, also known as knowledge discovery in data (KDD), is the process of uncovering patterns and other valuable information from large data sets. Given the …
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This paper mainly studies the realization of Web data mining technology based on Python. This paper analyzes the overall architecture design of distributed web crawler system, and then analyzes in detail the principles of crawler's URL function module, crawler's web crawl function module, crawler's web page parsing function module, …
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Data Mining Technology. Much of data mining uses well-known algorithms that cluster, segment, associate and classify data. ... More recently, cloud-based data warehouse software has become available …
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As is a kind of data mining technology, support vector regression has been widely used in the field of pattern recognition and artificial intelligence. In this paper, we propose an efficient ...
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Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends, turning those findings into business insights and predictions. Data mining goes beyond the search process, as it uses data to evaluate future probabilities and develop actionable analyses.
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This article first introduces the influence of big data analysis on psychology, the current situation of the cadre training management mechanism, and then explains the necessity of cadre psychological counseling. Finally, this article designed a questionnaire and learned that 35% of cadres are under competitive pressure, and 27% of cadres panic ...
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The use of data mining technology to analyze college students' scores can effectively analyze and deal with the data of grades, so as to improve the working time limitation of the education administrators and help them to adjust education decision instantly. Using data mining techniques to analyze CET-4 grades, we can find the rules or patterns hidden in …
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People can learn, understand, and use music using the solfeggio method. People involved in professional music training have given it importance because it is a fundamental discipline of enlightenment music and a necessary training method and technical theory course to enter the professional level. This article presents an in-depth …
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