Applied data mining

Java Data Mining

Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing predictive analytics applications and tools. The JDM 1.0 standard was developed under the Java Community Process as JSR 73. In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization. Various data mining functions and techniques like statistical classification and association, regression analysis, data clustering, and attribute importance are covered by the 1.0 release of this standard. It never received wide acceptance, and there is no known implementation. (Wikipedia).

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Data Exploration & Visualization | Introduction to Data Mining part 20

In this Data Mining Fundamentals tutorial, we introduce you to data exploration and visualization and what they are to data mining. Data exploration is visualization and calculation to better understand characteristics of data. We will tell you the key motivations of data exploration as we

From playlist Introduction to Data Mining

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Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka

( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge

From playlist Data Science Training Videos

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What REALLY is Data Science? Told by a Data Scientist

Interested in Data Science? Start with learning SQL to query data. You'll need it no matter which part of the data science pyramid you're interested in: https://joma.tech/3nteQih ๐Ÿ“š Video courses from JomaClass: ๐ŸŽ“ New to programming? Learn Python here: https://joma.tech/35gCJTd ๐ŸŽ“ Learn S

From playlist Data Science

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Data Quality | Introduction to Data Mining part 7

In this Data Mining Fundamentals, we introduce the most overlooked step in data mining, Data Quality. Understanding your data quality problems is very important to creating robust models that will actually work in production. -- Learn more about Data Science Dojo here: https://datascienced

From playlist Introduction to Data Mining

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What is Data Mining ? | Edureka

( R Training : https://www.edureka.co/r-for-analytics ) Data mining is the process of digging out useful and interesting knowledge from large amounts of data. R is a free software environment, which provides a wide variety of statistical and graphical techniques meant for statistical compu

From playlist R Tutorial Videos

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What Is Data Science?

Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i

From playlist Data Science Dictionary

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Data Cleaning | Introduction to Data Mining part 10

In this Data Mining Fundamentals tutorial, we introduce Data Preprocessing, known as data cleaning, and the different strategies used to tackle it. There are many strategies for data preprocessing, and because data science is such a heterogeneous field, none of these strategies are strictl

From playlist Introduction to Data Mining

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Basic Vocabulary | Introduction to Data Mining part 1

All great learning opportunities are built on a solid foundation. This data mining fundamentals series is jam-packed with all the background information, technical terminology, and basic knowledge that you will need to hit the ground running. In part 1 of this data mining video series, we

From playlist Introduction to Data Mining

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Advanced Data Mining Course Tutorial - Weka

In this course you will learn about #advanced #data #mining which will boost your data mining skill to the utmost level. ** Topics of this course ** Advanced Data Mining (1.1: Introduction) Advanced Data Mining (1.2: Linear regression with lags) Advanced Data Mining (1.3: timeseriesFo

From playlist Data Mining

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Big Data Analytics With Spark | Big Data and Spark Tutorial | Spark for Beginners | Edureka

( Apache Spark Training - https://www.edureka.co/apache-spark-scala-training ) This Apache Spark tutorial explains why and how Spark can be used for Big Data Analytics. This Spark tutorial is specially designed to help beginners to learn Big Data Analytics with Spark. To attend a live cla

From playlist Webinars by Edureka!

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Rocky Mountain Ruby 2013 Minecart - A story of Ruby at a growing company by Matt Wilson

This is the story of Ruby at Square. As Square grew, we invested heavily in a service oriented architecture (SOA) and mainly used Java as our language of choice for new service development. Recently we finished a project, named Minecart, to deeply tie Ruby applications into our Java servic

From playlist Rocky Mountain Ruby 2013

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Java JDBC tutorial | Java Database Connectivity | Java Tutorial For Beginners | Simplilearn

๐Ÿ”ฅPost Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=Java-/3OrEsC-QjUA&utm_medium=DescriptionFirstFold&utm_source=youtube ๐Ÿ”ฅCaltech Coding Bootcamp (US Only): https://www.simplilearn.com/

From playlist ๐Ÿ”ฅJava Tutorial For Beginners | Java Full Course | Java Interview Questions And Answers | Java Programming | Updated Java Playlist 2023 | Simplilearn

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IMT4130 Cybercrime investigations: Blockchain 101.

IMT4130 Cybercrime Investigations lecture: Blockchain 101. Introduction to Blockchain technology, cryptocurrencies, and peer-to-peer networking. General overview. Using Bitcoin as the main vehicle for explanations.

From playlist Archive - Research in Mobile/Wearable Tech

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Top Big Data Technologies | Big Data Tools Tutorial | Big Data Hadoop Training | Edureka Rewind

๐Ÿ”ฅ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐๐ข๐  ๐ƒ๐š๐ญ๐š ๐‡๐š๐๐จ๐จ๐ฉ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž (๐”๐ฌ๐ž ๐‚๐จ๐๐ž: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ) : https://www.edureka.co/big-data-hadoop-training-certification This Edureka video on Big Data Technologies will provide you in-depth knowledge on Big Data Tools. This video will help you understand different t

From playlist Big Data Hadoop Tutorial Videos | Edureka

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22C3: Lightning Talks Day 3

Nine five minutes talks by various speakers There are also loads of reasons for attending the lightning talks (there is a 1-hour block of those each day at 22C3, with 10 talks in a row). It's entertaining. You get to learn about a lot of different subjects in a short time. And even if

From playlist 22C3: Private Investigations

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Introduction to Sentiment Analysis in R | Data Science Training | Edureka | Data Science Live - 2

๐Ÿ”ฅEdureka Data Science Training: https://www.edureka.co/data-science-r-programming-certification-course This Sentiment Analysis Tutorial shall give you a clear understanding as to how a Sentiment Analysis machine learning algorithm works in R. ๐Ÿ”ดSubscribe to our channel to get video updat

From playlist Edureka Live Classes 2020

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Fellow Short Talks: Dr Charles Sutton, Edinburgh University

Charles Sutton is a Reader (equivalent to Associate Professor: http://bit.ly/1W9UhqT) in Machine Learning at the University of Edinburgh. He has over 50 publications in a broad range of applications of probabilistic machine learning. His work in machine learning for software engineering ha

From playlist Short Talks

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Graph & Ordered Data | Introduction to Data Mining part 6

In this Data Mining Fundamentals tutorial, we introduce graph data and ordered data, and discuss the different types of ordered data such as spatial-temporal and genomic data. -- Learn more about Data Science Dojo here: https://datasciencedojo.com/data-science-bootcamp/ Watch the latest v

From playlist Introduction to Data Mining

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Is Hadoop a Necessity for Data Science? Big Data and Hadoop Tutorial | Edureka

( Hadoop Training: https://www.edureka.co/hadoop ) This Edureka Big Data and Hadoop tutorial video tells you whether Hadoop is a necessity for data science. This Big Data and Hadoop lesson is ideal for data scientists and those who want to learn Data Science or Hadoop. Click on the timesta

From playlist Big Data Hadoop Tutorial Videos | Edureka

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Basic Data Types | Introduction to Data Mining part 4

Continuing our series on Data Mining Fundamentals, we introduce you to the three data set types, Record, Ordered, and Graph and give you examples of when you would want to use each data set. -- Learn more about Data Science Dojo here: https://datasciencedojo.com/data-science-bootcamp/ Wat

From playlist Introduction to Data Mining

Related pages

Statistical classification | Predictive analytics | Regression analysis | Data mining