Stream  Warehousing   Theodore  Johnson   AT&T  Labs  –  Research   johnsont@research.a=.com   Outline  

Source URL: mmds-data.org

Data Papers Ecology, 91(2), 2010, p. 621 Ó 2010 by the Ecological Society of America GAGES: A stream gage database for evaluating natural and altered flow conditions in the conterminous United States

Source URL: ny.cf.er.usgs.gov

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them ˇ Albert Bifet1 , Jesse Read2 , Indr˙e Zliobait˙ e3 , Bernhard Pfahringer4 , and Geoff Holmes4 1

Source URL: users.ics.aalto.fi

UWW Tier II Stream Data Sheet Certified Monitor Name(s) ________________________________________ UWW ID # ____________ Site Name ____________________________________________________

Source URL: extension.usu.edu

Real-Time Big Data Stream Analytics Albert Bifet Universit´e Paris-Saclay T´el´ecom ParisTech D´partement Informatique et R´eseaux 46 rue Barrault

Source URL: ceur-ws.org

Large Scale Data Stream Processing定位與行為分析 專題研究生：鄭力瑜、佘佳穎 指導教授：王蒞君 教授 計畫動機與概述 

Source URL: diamondprj.nctu.edu.tw

Large Scale Data Stream Processing- 定位與行為分析

Source URL: diamondprj.nctu.edu.tw

Dhananjay Kulkarni (Boston University) Chinya V. Ravishankar (University of California – Riverside) SSDBM 2008 Printed with FinePrint trial version - purchase at www.fineprint.com

Source URL: i.cs.hku.hk

• Data management
• Database theory
• Computing
• Data
• Data stream management system
• Relational database
• Join
• Tuple
• Chase
• Database

TelegraphCQ: Continuous Dataflow Processing for an Uncertain World+ Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong*, Sailesh Krishnamurthy, Sam Madden, Vijayshank

Source URL: db.lcs.mit.edu

• Computing
• Data management
• Software
• Database management systems
• Database theory
• Query languages
• Data stream management system
• Relational database management systems
• Relational database
• PostgreSQL
• Dataflow
• Query optimization

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet1 , Geoff Holmes1 , Bernhard Pfahringer1 , Philipp Kranen2 , Hardy Kremer2 , Timm Jansen2 , and Thomas Seidl2 1

Source URL: moa.cs.waikato.ac.nz

• Data mining
• Statistics
• Computational statistics
• Software
• Machine learning
• Massive Online Analysis
• Cluster analysis
• Formal sciences
• Data stream mining
• K-means clustering
• Concept drift
• Weka