KDD DISSERTATION AWARD 2015

Towards the goal of rich analysis on societal-scale networks, this thesis provides 1 modeling and algorithmic techniques for incorporating network context into existing network analysis algorithms based on statistical models, and 2 strategies for network data representation, model design, algorithm design and distributed multi-machine programming that, together, ensure scalability to large networks. A nomination letter, written by the dissertation advisor of the candidate. Award Presentation at KDD In particular, computational tasks are designed to understand distrust, a innovative task, i. During the second phase, all members without COI were invited to rank the top 6 nominations. 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. Based on this view, the thesis lays down a mining framework of:

Each dissertation was reviewed by at least 3 experts who helped group the dissertations into two competing groups. Social media differs from the physical world: The award winner will also receive a free registration to attend the KDD conference. Modeling Large Social Networks in Context. These unique properties of social media present novel challenges for computing distrust in social media: Nominations due Apr One copy of the doctoral dissertation.

Since distrust is a special type of negative links, I demonstrate the generalization of properties and algorithms of distrust to negative links, i. By subscribing you accept KDnuggets Privacy Policy. 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.

  CLOUDED LEOPARD OF MEGHALAYA ESSAY

Each nominated dissertation must also have been successfully defended by the candidate, and the final version of each nominated dissertation must have been accepted by the candidate’s academic unit. AugustSydney, Australia. The runners-up will receive a plaque at the conference. A nomination must include:. However, little aware is paid on distrust in social media.

SIGKDD Awards

After receiving the nominations, we invited leading experts to serve on the award selection committee from all over the world. Nominations are limited to one doctoral dissertation per department or academic unit. Nominations due Apr Overall Presentation and Readability of Dissertation including organization, writing style and exposition, etc.

Computing Distrust in Social Media. PDF format is preferred for all materials.

kdd dissertation award 2015

This is a change from previous years’ policy that each department can only nominate one student. An English version of the dissertation must be submitted with the nomination. The runners-up will receive a plaque at the conference. The methods produce quality topics, phrases and relations with no or little supervision.

SIGKDD Awards : SIGKDD Best Paper Award Winners

One copy of the doctoral dissertation. Based on this view, the thesis lays down a mining framework of: April 30, This annual award was established by ACM SIGKDD in to recognize excellent research by doctoral candidates in the field of data mining, data science, and knowledge discovery. A nomination letter, written by the dissertation advisor of the candidate. It becomes increasingly difficult for online users to find relevant information or, in other words, exacerbates the information overload problem.

All nomination materials must be in English. The final dissertation defense should take place at the nominee’s host institution before the submission deadline.

  THESIS FCS UBI

Modeling Large Social Networks in Context. Trust, providing evidence about with whom users can trust to share information and from whom users can accept information without additional verification, kds a crucial role in helping online users collect relevant and reliable information.

kdd dissertation award 2015

The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery. 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.

Tags sigkdd qirong ho jiliang tang jiawei han huan liu eric xing dissertation awards chi wang They are scalable and the runtime is orders of magnitude faster than alternatives in large datasets. Submissions must be received by the submission deadline.

kdd dissertation award 2015

The emergence of the cloud, internet of things, social media etc. April 30, The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery.

Haixun Wang, Facebook, haixun [at] fb.