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Data Mining
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February 10, 2018

Top 41 Free Data Analysis Software

Top 34 Free Data Analysis Software : List of 34 + top data analysis freeware software solutions including ELKI, ITALASSI, R, Data Applied, DevInfo, Tanagra, Waffles, Weka, Encog,RapidMiner, PAW, SCaVi, ILNumerics.Net, ROOT, Julia, MOA, NumPy, SciPy, KNIME, NetworkX, matplotlib, IPython, SymPy, Scilab, FreeMat, jMatLab
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January 2, 2018

Top 33 Data Mining Software

Top 26 Data Mining Software : 26+ Data Mining software from the propriety vendors including IBM SPSS Modeler, SAS Enterprise Miner, RapidMiner, Angoss Knowledge STUDIO, Microsoft Analysis Services, Oracle Data Mining, FICO Data Management Integration Platform, Think Analytics, Salford Systems, Viscovery, Portrait Software, IBM DB2 Intelligent Miner, STATISTICA Data Miner, QIWare, LIONsolver, KXEN Modeler, Neural Designer, Megaputer's PolyAnalyst, TIBCO Spotfire Miner, XLMiner- Frontline Systems, GhostMiner, Teradata Warehouse Miner, KNIME, Advanced Miner, Alteryx Designer and Rapid Insight Veera.
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January 2, 2018

What is Data Mining ?

What is Data Mining ? Data Mining is the computational process of discovering patterns, trends and behaviors, in large data sets using artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Data mining is considered as a synonym for another popularly used term, known as KDD, knowledge discovery in databases. Data mining is an essential step in the process of predictive analytics. The process of mining and extraction of useful information from the existing data is an interdisciplinary [...]

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January 2, 2018

What is Data Analysis ?

What is Data Analysis ? : The process of inspecting, cleaning, transforming, and modeling data with the objective of discovering useful information, arriving at conclusions, and supporting the decision making process is called Data Analysis. There are multiple facets and approaches with diverse techniques for the data analysis. The data analysis in statistics are generally divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). Data need to be cleaned. Data cleaning is the process of correcting the outliers and other incorrect and unwanted information. There are several types of data cleaning process to [...]

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August 25, 2017

Weka Data Mining

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka features include machine learning, data mining, preprocessing, classification, regression, clustering, association rules, attribute selection, experiments, workflow and visualization. Weka is written in Java, developed at the University of Waikato, New Zealand. All of Weka's techniques are predicated on the assumption that the data is available as a single flat file or relation, where each data point is described by a fixed number of attributes Weka provides access to SQL databases [...]

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