[PDF] Top 20 Data Mining & It’s Algorithms
Has 10000 "Data Mining & It’s Algorithms" found on our website. Below are the top 20 most common "Data Mining & It’s Algorithms".
Data Mining & It’s Algorithms
... enerally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - ... See full document
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Importance of Data Mining with Different Types of Data Applications and Challenging Areas
... Data mining is the extraction of useful patterns and relationships from data sources, such as databases, texts, the ...web. It has nothing to do however with SQL, OLAP, data warehousing ... See full document
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Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach
... Earthquake occurs as a result of unexpectedly emerged energy in the earth's crust. Due to this energy, seismic waves occur and these waves create a shock effect on earth. There are many factors that affect the ... See full document
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Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan
... network algorithms. In our study, it is evident (Table 1) that RBF neural network algorithm showed better fit compared with MLP algorithm, which was in agreement with the results found by Kaewtapee et ... See full document
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Formalization of Learning Patterns Through SNKA
... WITH S NKA Many Data mining methods were ...supportive algorithms are decision tree, Naïve Bayesian, Neural network and ...numerical data. Figure1 depicts the implication of SNKA with ... See full document
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Towards a Data Mining Class Library for Building Decision Making Applications
... solve it efficiently [5] [14]. Decision tree algorithms creates a collection of nodes strategy evaluated by a predictor attribute that finds the best ramification in order to separate data into more ... See full document
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The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture
... time data mining, in recent years the concern of researchers to discover new hardware architectures that can manage and process large volumes of data has increased ...of algorithms for ... See full document
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A Hybrid Approach to Privacy Preserving in Association Rules Mining
... Nowadays, data mining is a useful, yet dangerous technology through which useful information and the relationships between items in a database are ...in data mining was introduced for managing ... See full document
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Modified Weighted PageRank Algorithm using Time Spent on Links
... increasing data on the web, it is very difficult to find relevant information for a ...ranking algorithms have been developed to prioritize the search results so that more relevant pages are ... See full document
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DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACHE
... Agent learning In open multi-agent organizations, interaction widely exists between agent and environment, and between an agent and the other agent(s). Agents are expected to learn from other agents, their ... See full document
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A Recent Review on XML data mining and FFP
... Data Mining is referred to as Knowledge Discovery in Databases. It deals with issues such as representation schemes for the concept or pattern to be discovered, design of appropriate functions and ... See full document
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Analyzing Chatbots Data with Data Mining
... columns. It has also been detected that each node usually has two ...interaction, it is the question elaborated by the bot. It can also be a validation to the user’s ...sometimes it is ... See full document
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Data mining applied to neurorehabilitation data
... and it is the second generation of an already existing tele-rehabilitation platform called ...ABI. It comprises a web application for therapists, who use it to plan and configure the treatments and ... See full document
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An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling
... rule mining algorithms to recognize frequent events in form of itemsets were widely-used example of association rule mining is Market Basket Analysis (Agrawal et ...explored data cube-based ... See full document
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DATA CHARACTERIZATION TOWARDS MODELING FREQUENT PATTERN MINING ALGORITHMS
... investigating data intensive applications, which analyze huge amount of data as ...that data intensive applications, and stream mining applications are fundamentally different from the ... See full document
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Mining Protein Structure Data
... and data sets makes the prediction values not directly ...calculation it is possible to do some indirect ...table s surface area are about ...compare it with our ... See full document
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A P2P Botnet Virus Detection System Based on Data-Mining Algorithms
... Strayer et al. [9] found that botnet viruses have grouping and strongly related characteristics during their communication stage, so they filtered out normal flows and used the remaining suspected flows for clustering ... See full document
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A survey of data mining & its applications
... Abstract- Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of ...data. Data mining research & ... See full document
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Optimization of Building Energy Consumption through Data Mining Using Modern Science
... As it was stated after the earlier model development phase, it is the turn for the data mining main ...the algorithms are used to predict which include statistics such as regression ... See full document
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A Study on Selective Data Mining Algorithms
... allows it to run on large datasets. Its disadvantage is that it does not yield the same result with each run, since the resulting clusters depend on the initial random assignments (the k-means ++ algorithm ... See full document
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