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- Program Chairs:
- Mouna Kacimi,
- Nicoleta Preda,
- Maya Ramanath
The publication date is one day earlier then the EST date to provide the proceedings to attendees in Australian on the first day of the conference
It is our pleasure to host PIKM, the PhD workshop in Information and Knowledge Management, in conjunction with the ACM CIKM 2015 conference in Melbourne, Australia. PIKM has been a mpopular event in CIKM since its inception in 2007. This is the 8th time PIKM is being held and has attracted participants from all over the world.
PIKM provides PhD students an opportunity to present their dissertation proposals and/or early doctoral research worldwide and get recognition for their work. It gives them valuable feedback at a relatively early stage from experts in their field in academia and industry. This helps them assess their work with respect to its novelty, technical contributions and real-world applications. Moreover, PIKM also presents a panorama of upcoming doctoral work to established researchers in information and knowledge management. It gives them an idea of the interesting topics that attract fresh doctorates. It could help them tap this potential at an early stage through summer internships, research collaborations and more.
There have been 16 submissions to PIKM2015 of which 5 have been accepted as full papers. A significant highlight of PIKM 2015 includes both poster and oral presentations for all accepted papers to increase visibility and interaction. Another distinguished aspect this year is a career development session consisting of a mentoring presentation, from an experienced researcher, which emphasizes the importance of seeking opportunities and developing the needed skills to be successful after the PhD. We encourage participants to attend the keynote and invited talks. These valuable and insightful talks can help PhD students in their career:
Keynote: "Why Researchers are Managers", Dr. Gerard de Melo (Tsinghua University, China)
Invited talk in the career development session: "Beyond The Thesis: Completing A Successful PhD", Prof. Justin Zobel (University of Melbourne, Australia)
The PIKM 2015 team includes Program Committee members from 11 countries spanning 4 continents. These comprise a good balance of industry and academia. We thank the reviewers for providing quick and useful feedback to the students amidst their busy schedule of work. In recent years, PIKM has been giving a best reviewer award in order to honor the exceptional contributions of a PC member, analogous to the best paper award that provides recognition to outstanding PhD student research. This year, the best paper award goes to Shady Elbassuoni from the American University of Beirut, Lebanon. We sincerely applaud him for his time and effort in providing excellent and detailed reviews. The best paper award will be announced during the PIKM workshop at the CIKM conference. Both these awards consist of ACM certificates.
Proceeding Downloads
Topic Detection from Large Scale of Microblog Stream with High Utility Pattern Clustering
With the popularity of social media, detecting topics from microblog streams have become an increasingly important task. However, it's a challenge due to microblog streams have the characteristics of high-dimension, short and noisy content, fast ...
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters
In clustering applications involving documents and images, in addition to the large number of data points (N) and their high dimensionality (d), the number of clusters (C) into which the data need to be partitioned is also large. Kernel-based clustering ...
A Generative Model For Time Series Discretization Based On Multiple Normal Distributions
- Sunil Gandhi,
- Tim Oates,
- Arnold Boedihardjo,
- Crystal Chen,
- Jessica Lin,
- Pavel Senin,
- Susan Frankenstein,
- Xing Wang
Discretization is a crucial first step in several time series mining applications. Our research proposes a novel method to discretize time series data and develops a similarity score based on the discretized representation. The similarity score allows ...
R-Apriori: An Efficient Apriori based Algorithm on Spark
Association rule mining remains a very popular and effective method to extract meaningful information from large datasets. It tries to find possible associations between items in large transaction based datasets. In order to create these associations, ...
Efficient Top-k Query Answering through its Top-N Rewritings Using Views
Recently, various algorithms were proposed to speed up top-k query answering by using multiple materialized query results. Nevertheless, for most of the proposed algorithms, a potentially costly view selection operation is required. In fact, the ...
Beyond The Thesis: Completing A Successful PhD
Many factors lead to students undertaking a PhD. A student may, for example, be intellectually curious, and want to pursue an interest or understand a problem; or may be adventurous, and want to make a significant discovery; or be entrepreneurial, and ...
Index Terms
- Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management