Posts Tagged ‘Data Mining’

Google Predict Empowering Applications

Saturday, May 21st, 2011

The Google Prediction API allows you to tap into Google’s machine learning algorithms that crunch data and give your possible outcomes, thereby helping you make your applications smarter.

Features

  • Lightweight RESTful API.
  • Asynchronous training.
  • Automatically selects from several available machine learning techniques.
  • Supported inputs: numeric data and unstructured text.
  • Outputs hundreds of discrete categories, or continuous values.
  • Gallery of pre-trained prediction models.
  • Ability to add new training data on the fly.
  • Accessible from many platforms: Google App Engine, Apps Script (Google Spreadsheets), web & desktop apps, and command line.

Read More: http://code.google.com/apis/predict/

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First look at Dhiti

Saturday, May 21st, 2011

Dhiti offers a RESTful API to our exploratory search platform. In short, our platform allows you to:

  • Upload a set of documents (html, or text) into a session.
  • Extract top topics, or concepts for a document, or a set of documents
  • Provide relevance feedback about articles, concepts or nuggets you like and dislike.
    Recommendations subsequently change according to that.
  • Get recommendations of nuggets, articles or categories for a pivot. A pivot can be,
    • a url (of a document already added)
    • a string (treated as a query)
    • a category
    • your preferences – based on the relevance feedback
  • Persist the session, along with your preferences

Some applications of our API:

More: http://dhiti.com/api/

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KNIME Beginner’s Luck

Saturday, May 21st, 2011

KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform.

“KNIME Beginner’s Luck is a quick approach to KNIME for beginners.

More: Rosaria Silipo is a certified KNIME trainer and this book has been born from her lessons on KNIME and KNIME Reporting. It gives a detailed overview of the main tools and philosphy of the KNIME data analysis platform. The goal is to empower new KNIME users with the necessary knowledge to start analysing, manipulating, and reporting even complex data.

Link: http://knime.org/knimepress/beginners-luck

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Data mining & Hip Hop

Wednesday, February 23rd, 2011

Tahir Hemphil data mined 30 years of hip-hop lyrics to provide a searchable index of the genre’s lexicon.

The project analyzes the lyrics of over 40,000 songs for metaphors, similes, cultural references, phrases, memes and socio-political ideas.[Project] The project is one of its kind with a huge potential offering to the hip hop world, not only can you visualize the artists career’s but also have deeper analysis into their world where you can potential patternize their music.

Interesting Links:

[Read more @ Wired]

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