第八届信息与知识管理博士研讨会论文集

车间管理 Pub Date : 2015-10-18 DOI:10.1145/2809890
Mouna Kacimi, N. Preda, Maya Ramanath
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引用次数: 0

摘要

发布日期比EST日期早一天,以便在会议的第一天向澳大利亚的与会者提供会议记录。我们很高兴主办PIKM,信息和知识管理博士研讨会,与ACM CIKM 2015会议一起在澳大利亚墨尔本举行。自2007年成立以来,PIKM一直是CIKM的热门活动。这是PIKM第八次举办,吸引了来自世界各地的参与者。PIKM为博士生提供了一个在全球范围内展示他们的论文提案和/或早期博士研究的机会,并为他们的工作获得认可。在相对较早的阶段,它可以从学术界和工业界的专家那里获得有价值的反馈。这有助于他们根据其新颖性、技术贡献和实际应用来评估他们的工作。此外,PIKM还向信息和知识管理领域的知名研究人员展示了即将开展的博士工作的全景。它让他们了解吸引新博士的有趣话题。它可以通过暑期实习、研究合作等方式,帮助他们在早期阶段挖掘这一潜力。共有16篇论文投稿至PIKM2015,其中5篇已被录用为论文全文。PIKM 2015的一个重要亮点包括所有被接受的论文的海报和口头报告,以增加可见度和互动。今年的另一个亮点是职业发展环节,其中包括一位经验丰富的研究人员的指导演讲,强调寻求机会和培养博士毕业后成功所需技能的重要性。我们鼓励与会者参加主题演讲和特邀演讲。主题演讲:“为什么研究人员是管理者”,Gerard de Melo博士(中国清华大学)职业发展专题演讲:“超越论文:完成一个成功的博士”,Justin Zobel教授(澳大利亚墨尔本大学)2015年PIKM团队包括来自4大洲11个国家的项目委员会成员。这包括工业界和学术界的良好平衡。我们感谢审稿人在繁忙的工作中为学生提供了快速而有用的反馈。近年来,PIKM一直在颁发最佳审稿人奖,以表彰PC成员的杰出贡献,类似于授予杰出博士生研究的最佳论文奖。今年,最佳论文奖颁给了黎巴嫩贝鲁特美国大学的Shady Elbassuoni。我们真诚地赞扬他花时间和精力提供优秀和详细的评论。最佳论文奖将在CIKM会议的PIKM研讨会上公布。这两个奖项都包括ACM证书。
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Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management
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.
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Session details: Regular Paper Session II R-Apriori: An Efficient Apriori based Algorithm on Spark Session details: Regular Paper Session I Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters
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