- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
##分布式系统(Distributed System)资料
介绍:这是一篇介绍在动态网络里面实现分布式系统重构的paper.论文的作者(导师)是MIT读博的时候是做分布式系统的研究的,现在在NUS带学生,不仅仅是分布式系统,还有无线网络.如果感兴趣可以去他的主页了解.
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#!/bin/bash | |
# | |
# Script for running `go test` a bunch of times, in parallel, storing the test | |
# output as you go, and showing a nice status output telling you how you're | |
# doing. | |
# | |
# Normally, you should be able to execute this script with | |
# | |
# ./go-test-many.sh | |
# |
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name: deploy-production | |
# Controls when the action will run. Triggers the workflow on push | |
# events but only for the main/master branch | |
on: | |
push: | |
branches: [ main ] | |
# A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
jobs: |