Event Details
Workshop on Data Mining & Analytics with R
Three-day Hands-on Workshop on Data Modelling, Mining & Analytics
5-7 May 2015, Travancore Hall, Technopark, Trivandrum
Overview
R is today widely recognized as the world's most powerful statistical software environment. As a Free and Open Source Software (FOSS), R has been developed and maintained by a community of passionate enthusiasts, who have also been developing modules for extending the capabilities of the base R package. The R Ecosystem is today capable of not only of the most sophisticated statistical analyses, but also is able to communicate with other software packages ranging from spreadsheets, graphing tools and typesetting tools such as LaTeX.
Data Mining and Analytics is a mainstream business function today
that employs some of the more sophisticated modelling, analysis and
visualization techniques available. Once the domain of expensive
proprietary tools, R and its associated tools are today capable of
carrying out these at a fraction of the costs, in a more flexible and
extensible manner when compared to proprietary tools. Besides, as a FOSS
tool, R avoids the problems of vendor lock-in as well.
The Workshop
The 3-day workshop will expose participants to basic and intermediate
topics in the use of R in Data Mining, Analytics and Visualization. The
programme is directed at students, teachers, researchers, and IT
professionals. Participants are required to bring their laptops
installed with R and the R packages for Data Mining as indicated in the Rattlehome page under Install. It is also suggested that RStudio be
installed. All this software is open source and freely available.
Participants are also expected to be conversant with basic statistics.
Resource Person
The resource person for the 3-day Workshop is Dr Graham Williams,
PhD, Data Scientist, Togaware and Australian Taxation Office; Adjunct
Professor, Australian National University and University of Canberra,
Australia; and International Visiting Professor, Chinese Academy of
Sciences. Dr. Williams is the author of the Rattle, the wellÂ-known
mining and analytics tool built on top of R, which will be featured in
the workshop.
Topics Covered
The 3-day workshop will touch upon basics of installation and configuration of R, and will focus on data mining, data analytics, modelling and visualization. Rattle supports supervised and unsupervised analysis.
Supervised analytic models can be used to identify fraud or predict future patterns of behaviour. Building such models is well supported by Rattle. Decision trees, radom forests, boosted trees, support vector machines, neural networks and generalised linear models are all supported out of the box. Models can be visualised using the different tools available in R.
Data can be transformed into the shapes required for modelling. The performance of models can be graphically presented. Rattle also supports the scoring of new datasets and export of models as PMML for deployment in the Cloud.
Plse see the Program Schedule tab for specific topics covered.
Fees
Fees for the 3-day workshop (inclusive of lunch and tea) is as follows:
| Students: | Rs. 1,700 (Inclusive of tax) |
| Others: | Rs. 3,400 (Inclusive of tax) |
Seats will be allocated on a first-come-first-served basis. Please register using the Registration tab on the top of this page. For any enquiries, kindly contact Hasiya by email (hasiyanoohu@icfoss.in) or phone (+91 471 2700012).