KDD DISSERTATION AWARD 2015

August 4, 2019 posted by

It has been proven to be an effective way to mitigate information overload and credibility problems and has attracted increasing attention. These efforts come together in a novel mixed-membership triangle motif model that scales to large networks with over million nodes on just a few cluster machines, and can be readily extended to accommodate network context using the other techniques presented herein. The methods presented herein combine the flexibility of statistical models with key ideas and empirical observations from the data mining and social networks communities, and are supported by distributed systems research for cluster computing. We received 15 nominations this year. Tags sigkdd qirong ho jiliang tang jiawei han huan liu eric xing dissertation awards chi wang The chief objective of this dissertation is to figure out solutions to these challenges via innovative research and novel methods. As the conceptual counterpart of trust, distrust could be as important as trust and its value has been widely recognized by social sciences in the physical world.

A myriad of social media services are emerging in recent years that allow people to communicate and express themselves conveniently and easily. By subscribing you accept KDnuggets Privacy Policy. Meanwhile, users in social media can be both passive content consumers and active content producers, causing the quality of user-generated content can vary dramatically from excellence to abuse or spam, which results in a problem of information credibility. Overall Presentation and Readability of Dissertation including organization, writing style and exposition, etc. In particular, computational tasks are designed to understand distrust, a innovative task, i.

kdd dissertation award 2015

As the conceptual counterpart of trust, distrust could be as important as trust and its value has been widely recognized by social sciences in the physical world. This is a change from previous years’ policy that each department can only nominate one student. However, little attention is paid on distrust in social media.

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PDF format is preferred for all materials. For dissertations selected as award recipients, a copyright transfer form signed by the candidate is required giving permission for the dissertation to appear on KDD.

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kdd dissertation award 2015

Furthermore, the final dissertation defense must not have taken place prior to January 1st, The final dissertation defense should take place at the nominee’s host institution before the submission deadline. Haixun Wang, Facebook, haixun [at] fb. Overall Presentation and Readability of Dissertation including organization, writing style and exposition, etc. The award winner will also receive a free registration to attend the KDD disxertation.

SIGKDD News : SIGKDD Doctoral Dissertation Award – Call for Nominations

The thesis studies ,dd to uncover semantically rich structures, such as topical hierarchies and relationships among entities, from massive data that may contain both unstructured text and interconnected entities.

In general, the data are viewed as text-rich heterogeneous information networkswhich allow the data to be text-only unstructured datanetwork-only interconnected dataor text plus links.

kdd dissertation award 2015

In particular, computational tasks are designed to understand distrust, a innovative task, i. An English version of the dissertation must be submitted with the nomination. Dissertations of a doctoral candidate must be nominated by their primary Ph. The methods produce quality topics, phrases and relations with no or little supervision.

The pervasive use of social media generates massive data at an unprecedented rate. Social media differs from the physical world: A myriad of social media services are emerging in recent years that allow people to communicate and express themselves conveniently and easily.

Proposed disdertation are demonstrated in applications to a variety of domains, such as academic service, event log and news disserhation explorer, and product review disserttaion. The methods presented herein combine the flexibility of statistical models with key ideas and empirical observations from the data mining and social networks communities, and are supported by distributed dissertatjon research for cluster computing.

One copy of the doctoral dissertation. The award winner and up to two runners-up will be recognized at the KDD conference, and their dissertations will have the opportunity to awardd published on the KDD Web site http: Submissions must be received by the submission deadline. The dissertation defense must not have taken place prior to January 1st, Based on this view, the thesis lays down a mining framework of: It becomes increasingly difficult for online users to find relevant information or, in other words, exacerbates the information overload problem.

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A nomination letter, written by the dissertation advisor of the candidate. A nomination must include: The winner and runners-up will be invited to present his or her work in a special session at the KDD conference.

Award Presentation at KDD The chief objective of this dissertation is to figure out solutions to these challenges via innovative research and novel methods. April 30, The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery.

Trust, providing evidence about with whom users can trust to share information and from whom users can accept information without additional verification, plays a 2105 role in helping online users collect relevant and reliable information. The doctoral candidate must have successfully defended the nominated dissertation, and the dissertation must have been accepted by the candidate’s academic unit before the submission deadline.

Nominations are limited to one doctoral dissertation per department or academic unit. Optionally, the nomination may include up to two supporting dissertaation from other individuals, discussing the significance of the dissertation.