Radix Topics Resources Professions
Sign in
-->

Data Mining

You want to be a curator for
Data Mining?


  • Add your content


  • Basic concepts

    »

  • Statistical classification

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

       

  • »

  • K means clustering Method

    k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

       

  • »

  • Cluster Analysis

    task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)

       

  • Play around with

  • Weko 3

    Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

    University of Waikato

       

  • Level 2

    Learn more basics

  • Data Mining with Weka

    Principles of popular algorithms

    University of Waikato

       

  • Apply learned concepts

  • Scikit-Learn Software libray

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

    User guide, tutorials

       

  • Level 3

    Learn new concepts

  • Data Science For Business, What You Need to Know about Data Mining Non-fictional

    O'Reilly Media

    Foster Provost Tom Fawcett  

  • Last Level

    Learn new concepts

    »

  • Data Mining Concepts and Techniques Non-fictional

    Morgan Kaufmann Publishers

    Jiawei Han, Micheline Kamber, Jian Pei   

  • »

  • Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional

    Springer Verlag

    Martin Ester J?rg Sander  

  • Congratulations Now, choose a specialization:
  • Information

    Wikipedia

    Statistical classification

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

       

    Machine Learning Statistics


  • Education

    Online Course

    University of Waikato

    Data Mining with Weka

    Principles of popular algorithms

       



  • Next level

  • Information

    Wikipedia

    K means clustering Method

    k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

       

    Unsupervised Learning


  • Application

    Software

    Weko 3

    Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

    University of Waikato

       


  • Application

    Other

    Scikit-Learn Software libray

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

    User guide, tutorials

       

    Data Analysis Machine Learning



  • Next level

  • Information

    Wikipedia

    Cluster Analysis

    task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)

       

    Unsupervised Learning Data Analysis


  • Education

    Literature

    Data Mining Concepts and Techniques Non-fictional

    Morgan Kaufmann Publishers

    Jiawei Han, Micheline Kamber, Jian Pei   

    Data Analysis Data Science


  • Education

    Literature

    Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional

    Springer Verlag

    Martin Ester J?rg Sander  

    Data Analysis Data Science



  • Next level

  • Education

    Literature

    Data Science For Business, What You Need to Know about Data Mining Non-fictional

    O'Reilly Media

    Foster Provost Tom Fawcett  

    Data Analysis


  • Weko 3

    Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

    Upvote

  • University of Waikato Data Mining with Weka

    Principles of popular algorithms

    Upvote

  • Scikit-Learn Software libray

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

    Upvote

  • Information
  • Statistical classification Wikipedia

    the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

    Upvote

  • K means clustering Wikipedia

    k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

    Upvote

  • Cluster Analysis Wikipedia

    task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)

    Upvote

  • Application
  • Weko 3 Podcast

    Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

    Upvote

  • Scikit-Learn Other

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

    Upvote