The Fifth Elephant 2016

India's most renowned data science conference

The Fifth Elephant is India’s most renowned data science conference. It is a space for discussing some of the most cutting edge developments in the fields of machine learning, data science and technology that powers data collection and analysis.

Machine Learning, Distributed and Parallel Computing, and High-performance Computing continue to be the themes for this year’s edition of Fifth Elephant.

We are now accepting submissions for our next edition which will take place in Bangalore 28-29 July 2016.

Tracks

We are looking for application level and tool-centric talks and tutorials on the following topics:

  1. Deep Learning
  2. Text Mining
  3. Computer Vision
  4. Social Network Analysis
  5. Large-scale Machine Learning (ML)
  6. Internet of Things (IoT)
  7. Computational Biology
  8. ML in healthcare
  9. ML in education
  10. ML in energy and ecology
  11. ML in agriculrure
  12. Analytics for emerging markets
  13. ML in e-governance
  14. ML in smart cities
  15. ML in defense

The deadline for submitting proposals is 30th April 2016

Format

This year’s edition spans two days of hands-on workshops and conference. We are inviting proposals for:

  • Full-length 40 minute talks.
  • Crisp 15-minute talks.
  • Sponsored sessions, 15 minute duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on Workshop sessions, 3 and 6 hour duration.

Selection process

Proposals will be filtered and shortlisted by an Editorial Panel. We urge you to add links to videos / slide decks when submitting proposals. This will help us understand your past speaking experience. Blurbs or blog posts covering the relevance of a particular problem statement and how it is tackled will help the Editorial Panel better judge your proposals.

We expect you to submit an outline of your proposed talk – either in the form of a mind map or a text document or draft slides within two weeks of submitting your proposal.

We will notify you about the status of your proposal within three weeks of submission.

Selected speakers must participate in one-two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.

There is only one speaker per session. Entry is free for selected speakers. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. HasGeek will provide a grant to cover part of your travel and accommodation in Bangalore. Grants are limited and made available to speakers delivering full sessions (40 minutes or longer).

Commitment to open source

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.

Key dates and deadlines

  • Revised paper submission deadline: 17 June 2016
  • Confirmed talks announcement (in batches): 13 June 2016
  • Schedule announcement: 30 June 2016
  • Conference dates: 28-29 July 2016

Venue

The Fifth Elephant will be held at the NIMHANS Convention Centre, Dairy Circle, Bangalore.

Contact

For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

pratim mukherjee

@pratimkm

Security Analytics at Web Scale

Submitted Apr 29, 2016

• What is Security Analytics

• How Symantec discovers risks and weaknesses in Enterprises

• Data Collection and Storage

• Summarizing data with Hybrid OLAP
o Relational OLAP
o Multidimensional OLAP

• Application of Probabilistic Data Structures

• Exposing Apache Spark’s strenghts with REST layer on top

• HBase on steroid with Co-Processors

Outline

Symantec is the leading security solution provider on this planet. It has top of the line products like Norton Antivirus™ and Symantec Endpoint Protection under its portfolio, securing retail and enterprise endpoints. Much of its capability is derived from endpoint data intelligence. Given that the amount of log data generated in few months reaches petabytes, the long term correlation poses a tough challenge to detect severe network attacks like advanced persistent threats or targeted campaigns. To familiarize the audience we are going to give a brief overview of security analytics.

Our team is focused on crunching data at large scale. Data collection and processing happens in both streaming and batch mode. We are going to describe a Hybrid Online Analytics Processing(OLAP) framework built on top of Apache Spark, Hbase and Hive. We are going to offer some design tips and tricks to fetch queries in web scale on Big Data with Hbase co-processors and getting real time response from Apache Spark with customized REST layer on top.
Application of some the probabilistic data structures like Hyperloglog and Count Min Sketch in security domain.

Speaker bio

Pratim is currently working as an Architect in Symantec CTO team that is building Unified Security Platform. He has more than 13 years of experience building enterprise products and being part of a successful sillicon valley startup in the past. He holds a bachelors degree in CSE from IIT-Kharagpur.

Links

Slides

http://www.slideshare.net/pratimmukherjee/security-analytics-at-web-scale

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more