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4.3 multimedia datamining - SlideShare

    https://www.slideshare.net/Krish_ver2/43-multimedia-datamining
    07/05/15 2 MULTIMEDIA DATABASE Multimedia database system – stores & manages a large collection of multimedia objects Audio data, image data, video data, sequence data, hypertext data (contain text, text markups & …

PPT – Data Mining PowerPoint presentation | free to ...

    https://www.powershow.com/viewht/622cf9-NjdlN/Data_Mining_powerpoint_ppt_presentation
    Chart and Diagram Slides for PowerPoint - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over …

Introduction to Data Mining.ppt - NCSU

    https://www.csc2.ncsu.edu/faculty/nfsamato/practical-graph-mining-with-R/slides/pdf/Introduction_to_Data_Mining.pdf
    Introduction to Data Mining Dr. Nagiza F. Samatova Department of Computer Science North Carolina State University and Computer Science and Mathematics Division Oak Ridge National Laboratory. 2 ... Microsoft PowerPoint - Introduction_to_Data_Mining.ppt [Compatibility …

PPT – Data Mining: Concepts and Techniques PowerPoint ...

    https://www.powershow.com/viewfl/79fce8-ZGQ5N/Data_Mining_Concepts_and_Techniques_powerpoint_ppt_presentation
    Data Analytics Using Python And R Programming (1) - this certification program provides an overview of how Python and R programming can be employed in Data Mining of structured (RDBMS) and unstructured (Big Data) data. Comprehend the concepts of Data Preparation, Data Cleansing and Exploratory Data Analysis. Perform Text Mining to enable Customer Sentiment …

PPT SIM DATA MINING audio - YouTube

    https://www.youtube.com/watch?v=hPC7Ln28TwU
    data mining by aisya

Introduction to Data Mining - Computer Science

    http://cs.furman.edu/~pbatchelor/mis/Slides/Intro%20to%20Data%20Mining.pptx
    Using Training and Validation Data. Data mining projects typically involve large volumes of data. The data can be partitioned into: training data set – has known outcomes and is used to “teach” the data-mining algorithm. validation data set – used to fine-tune a model. test data set – tests the accuracy of the model. In . XLMiner

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