Jul 2012
23 Mon
24 Tue
25 Wed
26 Thu
27 Fri 09:30 AM – 05:30 PM IST
28 Sat 09:30 AM – 05:00 PM IST
29 Sun
Jul 2012
23 Mon
24 Tue
25 Wed
26 Thu
27 Fri 09:30 AM – 05:30 PM IST
28 Sat 09:30 AM – 05:00 PM IST
29 Sun
What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Hosted by
Ankur Pandey
@ankurpandey42
Submitted Jul 2, 2012
I will introduce key concepts and algorithms from Statistics, Machine Learning, Information Retrieval, etc. which are being used in the text mining side of the predictive analytics domain.
The abundance of structured and unstructured interaction data (web journey metrics, chats, etc.), motivates us to leverage the power of this data. I’ll concentrate on the algorithms which are being deployed now-a-days to dig out inferences from customer text data. I will illustrate with some use cases.
Ankur Pandey works in the Analytics & Data Sciences group at [24]7 Innovation Labs. Prior to this, he had research experience at IISc, masters from TU/e Netherlands & JKU Austria, and a bachelors from NITK Surathkal.
https://docs.google.com/open?id=0B0mIn02nhdHYZjZZOHk5OEpUVXc
Jul 2012
23 Mon
24 Tue
25 Wed
26 Thu
27 Fri 09:30 AM – 05:30 PM IST
28 Sat 09:30 AM – 05:00 PM IST
29 Sun
Hosted by
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