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data aggregation in data mining ppt

data aggregation in data mining ppt

Aug 18 2010 · Discoverydriven exploration is such a cube exploration approachbr Complex Aggregation at Multiple Granularity Multi feature Cubes Data cubes facilitate the answering of data mining queries as they allow the computation of aggregate data at multiple levels of granularitybr 9

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    3prep ppt Data Mining Concepts and Techniques u2014

    5 Major Tasks in Data Preprocessing Data cleaning Fill in missing values smooth noisy data identify or remove outliers and resolve inconsistencies Data integration Integration of multiple databases data cubes or files Data transformation Normalization and aggregation Data reduction Obtains reduced representation in volume but produces the same or similar analytical results Data

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  • PPT ON DATA MINING PRIMITIVES ENGINEERS ON WAY
    PPT ON DATA MINING PRIMITIVES ENGINEERS ON WAY

    Jul 12 2013 · Provide efficient implement a few data mining primitives in a DBDW system eg sorting indexing aggregation histogram analysis multiway join precomputation of some stat functions Tight couplingA uniform information processing environment

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  • Data Mining Tutorial Process Techniques Tools EXAMPLES
    Data Mining Tutorial Process Techniques Tools EXAMPLES

    Data mining technique helps companies to get knowledgebased information Data mining helps organizations to make the profitable adjustments in operation and production The data mining is a costeffective and efficient solution compared to other statistical data applications Data mining helps with the decisionmaking process

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  • Data Reduction In Data Mining Last Night Study
    Data Reduction In Data Mining Last Night Study

    Data Reduction In Data MiningData reduction techniques can be applied to obtain a reduced representation of the data set that is much smaller in volume but still contain critical Reduction StrategiesData Cube Aggregation Dimensionality Reduction Data Compression Numerosity Reduction Discretisation and concept hierarchy generation

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  • Data Mining Tutorial Tutorialspoint
    Data Mining Tutorial Tutorialspoint

    Data Mining is defined as the procedure of extracting information from huge sets of data In other words we can say that data mining is mining knowledge from data The tutorial starts off with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics

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  • Data Mining Sharif University of Technology
    Data Mining Sharif University of Technology

    DATA MINING Introductory and Advanced Topics Part I Source Margaret H Dunham Department of Computer Science and Engineering Southern Methodist University Companion slides for the text by Dr Data Mining Introductory and Advanced Topics Prentice Hall 2002

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  • Data Preprocessing in Data Mining Machine Learning by
    Data Preprocessing in Data Mining Machine Learning by

    Aug 20 2019 · This results into smaller data sets and hence require less memory and processing time and hence aggregation may permit the use of more expensive data mining algorithms → Change of Scale Aggregation can act as a change of scope or scale by providing a highlevel view of the data instead of a lowlevel view

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  • DATA WAREHOUSING AND DATA MINING
    DATA WAREHOUSING AND DATA MINING

    DATA MINING S Sudarshan Krithi Ramamritham IIT Bombay sudarsha krithi Comparison Budget vs Expenses Ranking Top 10 quartile analysis Access to detailed and aggregate data Complex criteria specification Visualization Organizationally Structured Data Different Departments look at the same detailed

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  • ethics of data mining and aggregation Les 6 Quarts
    ethics of data mining and aggregation Les 6 Quarts

    data aggregation in data mining ppt transsportbe Data aggregation is any process in which information is gathered and expressed in a summary form for purposes such as statistical analysis A common aggregation purpose is to get more information about particular groups based on specific variables such as age profession or income Data Mining Data

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  • Data Preprocessing in Data Mining Machine Learning by
    Data Preprocessing in Data Mining Machine Learning by

    Aug 20 2019 · This results into smaller data sets and hence require less memory and processing time and hence aggregation may permit the use of more expensive data mining algorithms → Change of Scale Aggregation can act as a change of scope or scale by providing a highlevel view of the data instead of a lowlevel view

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  • PDF Data Mining Issues and Challenges A Review
    PDF Data Mining Issues and Challenges A Review

    Data prep rocessing is an importa nt issue in data mining as a data can be incomplete and inconsiste nt Data preprocessing techniques can i mprove the acc uracy and efficiency of the subsequent

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  • Data Preprocessing in Data Mining GeeksforGeeks
    Data Preprocessing in Data Mining GeeksforGeeks

    Sep 09 2019 · Preprocessing in Data Mining The various steps to data reduction are Data Cube Aggregation Aggregation operation is applied to data for the construction of the data cube Attribute Subset Selection The highly relevant attributes should be used rest all can be discarded For performing attribute selection one can use level of

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  • OLAP DATA MINING WPI
    OLAP DATA MINING WPI

    “Data Cubes” Arraybases storage • Data cubes precompute and aggregate the data • Possibly several data cubes with different granularities • Data cubes are aggregated materialized views over the data • As long as the data does not change frequently the overhead of data cubes is manageable 21 Sales 1996 Red blob Blue blob

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  • Data Mining vs Big Data Javatpoint
    Data Mining vs Big Data Javatpoint

    Data Mining Vs Big Data Data Mining uses tools such as statistical models machine learning and visualization to Mine extract the useful data and patterns from the Big Data whereas Big Data processes highvolume and highvelocity data which is challenging to do in older databases and analysis program Big Data Big Data refers to the vast amount that can be structured semistructured

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  • Data Mining Sharif University of Technology
    Data Mining Sharif University of Technology

    DATA MINING Introductory and Advanced Topics Part I Source Margaret H Dunham Department of Computer Science and Engineering Southern Methodist University Companion slides for the text by Dr Data Mining Introductory and Advanced Topics Prentice Hall 2002

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  • Data Mining Tutorial Process Techniques Tools EXAMPLES
    Data Mining Tutorial Process Techniques Tools EXAMPLES

    Data mining technique helps companies to get knowledgebased information Data mining helps organizations to make the profitable adjustments in operation and production The data mining is a costeffective and efficient solution compared to other statistical data applications Data mining helps with the decisionmaking process

    Get Price
  • Data Mining Powerpoint Presentation
    Data Mining Powerpoint Presentation

    data mining powerpoint templates for free simple ppt is two ads that are the sales Datasets gathered in data mining powerpoint templates are online analysis technique based on thursdays add the audience Datasets and data mining presentation required data mining and along with a wide availability of great

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  • CS059 Data Mining Slides
    CS059 Data Mining Slides

    Some details about MDL and Information Theory can be found in the book “Introduction to Data Mining” by Tan Steinbach Kumar chapters 24 Lecture 8 b Clustering Validity Minimum Description Length MDL Introduction to Information Theory Coclustering using MDL

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  • Data Transformation In Data Mining Last Night Study
    Data Transformation In Data Mining Last Night Study

    In data transformation process data are transformed from one format to another format that is more appropriate for data mining Some Data Transformation Strategies 1 Smoothing Smoothing is a process of removing noise from the data 2 Aggregation Aggregation is a process where summary or aggregation operations are applied to the data

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  • Ethics of Data Mining and Aggregation
    Ethics of Data Mining and Aggregation

    Ethics of Data Mining and Aggregation Brian Busovsky Introduction A Paradox of Power The terrorist attacks of September 11 2001 were a global tragedy that brought feelings of fear anger and helplessness to people worldwide After sharing this initial reaction Hank Asher founder of Seisint a private company that maintained a massive

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  • Data Normalization in Data Mining GeeksforGeeks
    Data Normalization in Data Mining GeeksforGeeks

    Jun 25 2019 · Normalization is used to scale the data of an attribute so that it falls in a smaller range such as 10 to 10 or 00 to is generally useful for classification algorithms Need of Normalization – Normalization is generally required when we are dealing with attributes on a different scale otherwise it may lead to a dilution in effectiveness of an important equally important

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  • Data mining with big data IEEE Journals Magazine
    Data mining with big data IEEE Journals Magazine

    Jun 26 2013 · Data mining with big data Abstract Big Data concern largevolume complex growing data sets with multiple autonomous sources With the fast development of networking data storage and the data collection capacity Big Data are now rapidly expanding in all science and engineering domains including physical biological and biomedical sciences

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  • OLAP DATA MINING WPI
    OLAP DATA MINING WPI

    “Data Cubes” Arraybases storage • Data cubes precompute and aggregate the data • Possibly several data cubes with different granularities • Data cubes are aggregated materialized views over the data • As long as the data does not change frequently the overhead of data cubes is manageable 21 Sales 1996 Red blob Blue blob

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