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/

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:

• Content discovery on publishing sites. Dhiti Dive.
• Explore pages and topics on any page on the web. Drilll
• Convert your incoming twitter stream into a research library. Intweetion
• Get short, relevant previews from a book. Eg: Preview for the Selfish Gene

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

“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

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:

• http://www.eyebeam.org/taxonomy/term/5029
• https://spreadsheets.google.com/ccc?key=0Aju92oYl3qVTdFUzdGZPVFh6Tld0YUd1VWhzaVd5ZFE&hl=en#gid=0
• http://www.hiphoparchive.org/

[Read more @ Wired]

[1] SIAM Conference on Data Mining (SDM 2011)
This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students and others new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending tutorials (included with conference registration). A set of focused workshops are also held on the last day of the conference. The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.
Website: http://www.siam.org/meetings/sdm11/

[2] SIGKDD Conference on Knowledge Discovery and Data Mining
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2011 will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.
Website: http://kdd.org/kdd/2011/

[3] ACM SIGMOD 2011
The annual ACM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences.
Website: http://www.sigmod2011.org/index.shtml

[4] IJCAI 2011
The IJCAI-11 Program Committee invites submissions of technical papers for IJCAI-11, to be held in Barcelona, Spain, July 19-22, 2011. Submissions are invited on significant, original, and previously unpublished research on all aspects of artificial intelligence. The theme of IJCAI-11 is “Integrated and Embedded Artificial Intelligence” (IEAI) with a focus on artificial intelligence that crosses discipline boundaries within AI, and between AI and other disciplines. Building systems often requires techniques from more than one area (e.g. both machine learning and natural language processing, or both planning and preference representation). In addition, larger systems often have AI components embedded within that provide intelligent functionalities such as learning and reasoning. The conference will include a special track dedicated to such work.
Website: http://ijcai-11.iiia.csic.es/

[5] ECML PKDD 2011
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) will take place in Athens, Greece from September 5th to 9th, 2011. This event builds upon a very successful series of 21 ECML and 14 PKDD conferences, which have been jointly organized for the past ten years.
Website: http://www.ecmlpkdd2011.org/

Other Conferences:

[6] TDWI World Series Conference
What is your corporate data strategy? Most business and IT professionals point to their data models, data quality tools, or even a spreadsheet data “dictionary.” Maybe you’re just getting started with a new data quality project. Maybe you already have several data management initiatives in place and are making good progress. Or perhaps you’ve recently inherited the mess someone else made. In any case, does your right hand know what your left is up to? Several departmental data initiatives—even successful ones—do not equal a corporate data strategy. TDWI fosters a community of learning where business and technical professionals come together to gain knowledge and skills, network with peers, and advance their careers. Through education and research programs, TDWI enables individuals, teams, and organizations to leverage information to improve decision making, optimize performance, and achieve business objectives.
Website: http://events.tdwi.org/events/las-vegas-world-conference-2011/home.aspx?utm_source=AttendeeMktg&utm_medium=E-Mail&utm_campaign=lv20g

Realizing the popularity, and the need of Data Mining in the road ahead, has resulted into organizing many more conferences (also conferences into  many more specialized data mining streams) to be held all over the world. So, many more conferences, lots of research and great innovations and discoveries lay ahead.

The online book was created by The Data Mining group was established in November 2000 by Dr. Saed Sayad in a collaboration with Professor Stephen T. Balke in the Department of Chemical Engineering and Applied Chemistry at the University of Toronto.

You can visit the group here:

http://chem-eng.utoronto.ca/~datamining/

You can access the book here:

http://chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm

Features:

• Quick Reference
• Easy to memorize
• Neat layout with good colored illustrations
• Easy navigation
• and more.

Happy Reading!

With many stars being born every day, and many more dieing and disappearing, the space is a massive challenge to deal with. Today, thanks to digital photography astronomers get to spend more time making sense of the sky, than just gazing at it with telescope every night.  The best thing that astronomer say, is the use of data mining and statistic techniques, which makes their job a lot easier.

Some key facts:

• Key goal is learning about the changing sky faster and more efficiently.
• Typically, 1.5 Million new observations every night.
• Machine learning algorithms which recognize different galaxy types ranging from spiral to elliptical are improving and aiding the process very efficiently.
• Its also important to note that more data also means increased problem space.

[ Read  more at Space]

http://www.google.com/trends?q=Data+mining&ctab=0&geo=all&date=all

Topics of Interest:

A:  Business Intelligence and Data Mining
B: Data mining tells government and business a lot about you
C: Data mining is commonly used in business to find patterns
D: `Data mining’ may implicate innocent people in search for terrorists
E: ‘Data mining’ for drug companies goes to courts
F: IMS Health stock falls, as data mining ban pitched

A survey in 2010, for the data mining tools used revealed the interest of consumers in different data mining tools as follows:

This poll was conducted by KDnuggets ::http://www.kdnuggets.com/polls/2010/data-mining-analytics-tools.html and about 900 unique Data miners voted in the poll , but each were allowed multiple votes.

Open Source Data mining tools:
Well, even open source data mining is on the rise. Weka , Orange , Rattle and Rapid miner are few open source software to name. The recent trends in use of data mining software also supports Open Source in a big way, the following is an analysis by KDnuggets which indicates the choice of type of software by users of various countries.

Manu C, Student Content Intern.

As RapidMiner has once again proved to be the most-used open source data mining tool among the community of data analysts world-wide in a recent poll, it is now the time to give a face to that community. Therefore, Rapid-I hosts the first RapidMiner Community Meeting And Conference (RCOMM 2010) and invites users and developers of RapidMiner to take part and share their RapidMiner experiences with other members of the community. The RCOMM 2010 intends to intensify the community life and strengthen the RapidMiner network by bringing together users and developers of RapidMiner from all backgrounds, may they be scientific or commercial, from the whole variety of applications and from all grades of knowledge. A vital exchange of ideas, application reports, and scientific results will help beginners to advance and will inspire the already advanced leading them to professionalism. Users will profit from in-depth knowledge of developers, who in turn will gain from picking up requirements and ideas for further development.

The RCOMM 2010 encompasses conference talks, in which invited lecturers will discuss aspects of state-of-the-art data mining with RapidMiner. A Call-for-Papers will be issued for those who would like to present their work in that scope. Workshops will be held to give participants a hands-on experience concerning several topics regarding RapidMiner usage. Additionally, attendees of the RCOMM 2010 will also have the option to participate in several courses given by professional RapidMiner consultants in the surrounding of the user meeting.

Visit Conference Home: RCOMM
Registration Link: Registration
Schedule Link: Schedule

[ MSNBC ]