Authors submitting a paper will be asked to select one primary subject area, and up to 5 secondary subject areas from the sets of terms below. If there are any other PC or SPC members who you believe have, or may be perceived to have, a conflict of interest not covered above, please notify the PC Chairs by email research-chairs kdd. In addition, all deadlines are at This year, all workshops will have a uniform deadline for their paper submissions and notifications. Performance evaluation over synthetic data and real data crawled from the web validates the utility of our framework and effectiveness of our algorithms. This track also highlights new research challenges motivated by analytics and data mining applications in the real world.
Modeling Large Social Networks in Context. Bots, sockpuppets, vandals, hoaxes 3: 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. All nomination materials must be in English. However, most data management applications currently employ crowdsourcing in an ad-hoc fashion; these applications are not optimized for low monetary cost, low latency, or high accuracy. PDF format is preferred for all materials.
His research focuses on malicious user and information detection.
Awaed are also required to prepare an informal set of workshop proceedings to be distributed with the registration materials at the main conference, with a proceedings format template provided by KDD Authors are explicitly discouraged from submitting incremental results that do not provide significant advances over existing approaches. A thorough analysis of a social network should consider both the graph and the associated side information, yet we also expect the algorithm to execute in a reasonable amount of time on even the largest networks.
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.
Call for Participation, Papers, Workshops, Tutorials, Nominations
We invite proposals for tutorials from active researchers and experienced tutors. Authors are encouraged to carefully read the track descriptions and choose an appropriate track for their submissions.
All nomination materials must be in English. The tutorials will be part of the main conference technical program, and are free of charge to the attendees of the conference.
Data-Driven Approaches towards Malicious Behavior Modeling
Social media differs from the physical world: We show that the conventional view leads to an unrealistic structure of community overlaps. Due to its importance for scientific discovery, we put emphasis on consistent structure recovery throughout the thesis.
The safety, reliability and usability of web platforms are often compromised by malicious entities, such as vandals on Wikipedia, bot connections on Twitter, fake likes on Facebook, and several more. Papers submitted to the Research Track are solicited in all areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to:. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged as workshop topics.
Performance evaluation over synthetic data and real data crawled from the web validates the utility of our framework and effectiveness of our algorithms. Submissions must clearly identify one of the following three areas they fall into: Papers due in June.
This tutorial discusses three broad directions of state-of-the-art data-driven methods to model malicious behavior: The first direction of the work addresses the problems of understanding what topics are popular when by whom in the image collections, while the second line of the work studies the approaches for detecting salient and recurring contents across the image collections in the form of bounding boxes or pixel-wise segmentations. Finally, based upon the results of the work in the first two directions, we propose the reconstruction algorithms of branching storyline graphs, and explore their promising applications at the intersection of computer vision and multimedia data mining.
SIGKDD Awards : SIGKDD Dissertation Award Winners
Submitted papers must describe work that is substantively different from work that has already been published, or accepted for publication, or submitted in parallel 22015 other conferences or to journals. This track also highlights new research challenges motivated by analytics and data mining applications in the real world. Bots, sockpuppets, vandals, hoaxes. Nominations due Apr Moreover, most online activities involve interactions between multiple items and different users and interpreting such complex user-item interactions becomes intractable too.
An English version of the dissertation must be submitted with the nomination.
KDD 17 Tutorial – Malicious Behavior Modeling
The winner and runners-up will be invited to present his or her work in a special session at the KDD conference. Late submissions, or documents in other formats will not be accepted.
His research interests include large-scale data mining with emphasis on graphs and time sequences; anomaly detection, tensors, and fractals. Travel may or may not be partially covered depending on the total availability of funds and the number of awards given. It established the Innovation and Service Awards to recognize outstanding technical and service contributions to the KDD field.