The Fifth Elephant 2013

An Event on Big Data and Cloud Computing

(Skip ahead to session proposals)

In 2013, commodity hardware and computing capacity for storing and processing large and small volumes of data are easily available on demand. The bigger issues pertain to questions of how to scale data processing, handle data diversity, manage infrastructure costs, decide which technologies work best for different contexts and problems, and build products from the insights and intelligence that the data is presenting to you.

The Fifth Elephant 2013 is a three-day workshop and conference on big data, storage and analytics, with product demos and hacker corners.

Event format, themes and submission guidelines

The Fifth Elephant 2013 invites proposals on use cases and real-life examples. Tell us what specific problem you faced, which technology/tools worked for your use case and why, how you have developed business intelligence on the data you are collecting, and analytics tools and techniques you employ. Our preference is for showcasing original work with clear take-aways for the audience. Please emphasize these in your proposal.

The conference will have two parallel tracks on 12th and 13th July:

  1. Storage: OLTP, messaging and notifications, databases and big data, NoSQL
  2. Analytics: Metrics and tools, cloud computing, mathematical modelling and statistical analysis, visualization


This year we are adding a preliminary day of workshops, on 11th July, to provide attendees more in-depth, hands-on training on open source frameworks and tools (Pig, Hadoop, Hive, etc), commercial solutions (sponsored), programming languages such as R, and visualization techniques and tricks, among others.

Product demos and sponsored sessions

We have a demo track for startups and companies who want to showcase their product to customers at The Fifth Elephant 2013 and get feedback. Slots are also open for 4-6 sponsored sessions for companies who want to talk about their technologies and reach out to developers, CTOs, CIOs and product managers at The Fifth Elephant. For more information on demo and sponsored session proposals, write to

Commitment to open source

HasGeek believes in open source as the foundation of the internet. Our aim is to strengthen these foundations for future generations. If your talk describes a codebase for developers to work with, we require that it is available under a license that does not impose itself on subsequent work. This is typically a permissive open source license (almost anything that is listed at and is not GPL or AGPL), but restrictive and commercial licenses are also considered depending on how they affect the developer’s relationship with the user.

If you’d like to showcase commercial work that makes money for you, please consider supporting the event with a sponsorship.

Proposal selection process

Voting is open to attendees who have purchased event tickets. If there is a proposal you find notable, please vote for it and leave a comment to initiate discussions. Your vote will be reflected immediately, but will be counted towards selections only if you purchase a ticket. Proposals will also be evaluated by a program committee consisting of:

Emphasis will be placed on original work and talks which present new insights to the audience.

The programme committee will interview proposers who have received maximum votes from attendees and the committee. Proposers must submit presentation drafts as part of the selection process to ensure the talk is in line with the original proposal and to help the program committee build a coherent line-up for the event.

There is only one speaker per session. Attendance is free for selected speakers. HasGeek will cover your travel to and accommodation in Bangalore from anywhere in the world. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. If you are able to raise support for your trip, we will count that towards an event sponsorship.

If your proposal is not accepted, you can buy a ticket at the same rate as was available on the day you proposed. We’ll send you a code.

Discounted tickets are available from


The program committee will announce the first round of selected proposals by end of April, a second round by end-May, and will finalize the schedule by 20th June. The funnel will close on 5th June. The event is on 11th-13th July 2013.

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

Arthi Venkataraman


Similar entity detection in large data

Submitted Mar 26, 2013

  1. Understand Similar Entity recognition and it’s industrial applicability

  2. Techniques which can be used - Supervised and Unsupervised

  3. Algorithms for Clustering (Mini Batch k-means and Birch )
    Classification using Logistic regression and Continuous learning
    Boosting techniques to combine multiple learners

  4. Implementation challenges and possible approaches to overcome these challenges


One of the fundamental issues across industries is the presence of many similar entities but registered under different names. For example different groups of insurance companies offer different policies to same customers. In the systems these policies are registered under different customer ids. This leads to multiple issues including - Inability to cross / up sell, Identify any fraudulent claim patterns , etc. Same is the case in banks where same customer could be making different loan requests under different names. This presentation is based on our experiences with Similar entity detection in Big Data. It will speak about

  1. What is similar entity detection
  2. Where is the need for this
  3. Techniques for similar entity detection and their applicability
  4. Supervised , unsupervised and continuous learning modes
  5. Use of Semantic techniques
  6. Implementation Challenges
    Handling large data, Handling large number of comparisons, How to relate similar entities
  7. Sample results of our experiments

The above is the outline of what I intend to cover. There would enough time for questions and answers , however if you would like something more to be covered do post a comment and I will see how it can be incorporated.


It would be useful to have a basic idea of machine learning techniques, but it’s not compulsory as the talk will be in a simple language.

Speaker bio

• Arthi Venkataraman has > 16.5 years of experience in the design, development and testing of projects in different domains
• She is currently a Senior Architect in the Chief Technology Office of Wipro Technologies
• Her current role involves solution development for different business problems spanning the area of Big Data, Machine Learning and Semantics Technologies
• She has a B.E Degree in Computer Science from University Visvesvariah College of Engineering, Bangalore and an MBA (PGDSM) from IIM, Bangalore. She is also a PMP.
• She has previously presented papers and spoken at other international conferences
This presentation is based on Arthi’s experience in area of Similar entity identification

  • TBD



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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