01 Structure of Scientific Papers - Introduction to Scientific Writing WS2021/22research, get it published in SIGKDD and get it cited!, KDD 2009] [Recommended Reading] Example SIGMOD 2020 October 15, 2019: Abstract submission October 22, 2019: Paper submission December 10 - 11 Frederick R. Reiss, Berthold Reinwald: Scaling Machine Learning via Compressed Linear Algebra. SIGMOD Record 2017 46(1)] [Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Shortening the text in favor of structure improves readability Ex. Compressed Linear Algebra Initial SIGMOD submission: 12+3 pages Final PVLDB submission: 12 pages (+ more figures, experiments, etc) 0 码力 | 36 页 | 1.12 MB | 1 年前3
02 Scientific Reading and Writing - Introduction to Scientific Writing WS2021/22[Graham Cormode: How NOT to review a paper: the tools and techniques of the adversarial reviewer. SIGMOD Rec. 37(4) 2008] This paper leaves many questions unanswered. Some claims are questionable. The Shortening the text in favor of structure improves readability Ex. Compressed Linear Algebra Initial SIGMOD submission: 12+3 pages Final PVLDB submission: 12 pages (+ more figures, experiments, etc) Scientific University of Technology, WS 2021/22 Plagiarism – Duplicate Submission Example SIGMOD’21 A research paper submitted to SIGMOD 2021 cannot be under review for any other publishing forum or presentation0 码力 | 26 页 | 613.57 KB | 1 年前3
03 Experiments, Reproducibility, and Projects - Introduction to Scientific Writing WS2021/22course for details) [Michael J. Carey, David J. DeWitt, Jeffrey F. Naughton: The oo7 Benchmark. SIGMOD 1993] 10 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility Matthias B. Reinwald, P. J. Haas: MNC: Structure- Exploiting Sparsity Estimation for Matrix Expressions. SIGMOD 2019] 15 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility Matthias Writing – 03 Experiments & Reproducibility Matthias Boehm, Graz University of Technology, WS 2021/22 SIGMOD Reproducibility Process Overview Accepted papers can submit package, verified by committee0 码力 | 31 页 | 1.38 MB | 1 年前3
Streaming optimizations - CS 591 K1: Data Stream Processing and Analytics Spring 20202014). • Ron Avnur and Joseph M. Hellerstein. Eddies: continuously adaptive query processing. (SIGMOD 2000). • Matei Zaharia et. al. Discretized streams: fault-tolerant streaming computation at scale University 2020 54 • Re-ordering • Shivnath Babu et. al. Adaptive Ordering of Pipelined Stream Filters. SIGMOD 2004. • Scheduling and placement • Peter R. Pietzuch et. al. Network-Aware Operator Placement Brian Babcock et. al. Chain : Operator Scheduling for Memory Minimization in Data Stream Systems. SIGMOD 2003. • Donald Carney et. al. Operator Scheduling in a Data Stream Manager. VLDB 2003. • Load0 码力 | 54 页 | 2.83 MB | 1 年前3
完全兼容欧拉开源操作系统的 HTAP 数据平台 Greenplumfor Transactional and Analytical Workloads》1成功入选 SIGMOD 的收录论文,ACM SIGMOD 数据管理国际会议是由美国计算机协会 (ACM) 数据管理专业委员会(SIGMOD)发起、在数据库领域具有最高学术地位的国际性学术会议,SIGMOD 和另外 两大数据库会议 VLDB、ICDE 构成了数据库领域的三个顶级会议,其论文录取率是很低的,平均录取率大约仅为0 码力 | 17 页 | 2.04 MB | 1 年前3
Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020Springer-Verlag, Berlin, Heidelberg. • Lukasz Golab and M. Tamer Özsu. Issues in data stream management. SIGMOD Rec. 32, 2 (June 2003). • David Maier, Jin Li, Peter Tucker, Kristin Tufte, and Vassilis Papadimos Stonebraker, Uǧur Çetintemel, and Stan Zdonik. The 8 requirements of real-time stream processing. SIGMOD Rec. 34, 4 (December 2005).0 码力 | 45 页 | 1.22 MB | 1 年前3
钟阳红-Apache Ballista IntroductionVertica Columnar Database to the Cloud https://www.vertica.com/wp-content/uploads/2018/05/Vertica_EON_SIGMOD_Paper.pdf • The Snowflake Elastic Data Warehouse https://event.cwi.nl/lsde/papers/p215-dageville-snowflake0 码力 | 17 页 | 2.66 MB | 1 年前3
Greenplum开源MPP数据库介绍分布式快照 q QD生成,下发给QE q segment本地事务异步两阶段提交,保持一致性 Ø HTAP 优化 q 全局死锁检测 q 只读事务、只涉及到某个节点的操作、vacuum Ø SIGMOD 2021: Greenplum: A Hybrid Database for Transactional and Analytical Workloads. Confidential │ ©20220 码力 | 23 页 | 4.55 MB | 1 年前3
Machine Learningfunctions are composed together • E.g., we use a chain to represent f(x) = f3(f2(f1(x))) • If we take sigmod function as the activation function • z1 = w1x + b1 and a1 = σ(z1) • z2 = w2a1 + b2 and a2 = σ(z2)0 码力 | 19 页 | 944.40 KB | 1 年前3
Graph streaming algorithms - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki Kalavri | Boston University 2020 60 • McGregor, Andrew. Graph stream algorithms: a survey. ACM SIGMOD Record 43.1 (2014). https://dl.acm.org/doi/pdf/10.1145/2627692.2627694 • Stanton, Isabelle,0 码力 | 72 页 | 7.77 MB | 1 年前3
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