wsgan001's Stars
linyiqun/DataMiningAlgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
handong1587/handong1587.github.io
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
oeljeklaus-you/UserActionAnalyzePlatform
电商用户行为分析大数据平台
xiamx/awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
KDD-OpenSource/DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
yzhao062/data-mining-conferences
Ranking, acceptance rate, deadline, and publication tips
wyc941012/Edge-Intelligence
随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算,例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂,并且可能导致模型精度的下降。在移动云计算或边缘计算中,任务卸载技术可以突破移动终端的资源限制,减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**,将深度神经网络进行分区,一部分层在移动端计算,而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区,降低时延以及能耗。本项目给出了边缘智能方面的相关论文,并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词:边缘智能(Edge Intelligence),计算卸载(Computing Offloading),CNN模型分区(CNN Partition),协同推断(Collaborative Inference),移动云计算(Mobile Cloud Computing)
0xtokens/awesome-blockchain
Curated List of awesome Blockchain and Crytocurrency Resources
CenturyLinkCloud/PublicKB
Help Docs
lichaojacobs/awesome-big-data
大数据&&分布式系统学习过程中一些经验总结
xidongbo/AAAI19_Bi-STDDP
Keras Implementation of Bi-STDDP model. Code for Modelling of Bi-directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-in Identification
zhilonglu/Network-Embedding
Open Resources For network embedding
TPCD/DailyReadPaper
Academic Alchemy Furnace
Coder-Yu/DLRS-Papers
collection of the deep learning papers on recommender systems
summer-liu/Educational-Data-Mining-Recourses
A collection of useful resources in Educational Data Mining
Julian-Theis/DREAM-NAP
Decay Replay Mining to Predict Next Process Events
Gagan6730/High-Utility-Colocation-Pattern--Mining
Implementation of extended pruning algorithm for mining spatial high utility colocation patterns
hiepbkhn/itce2011
arjunbahuguna/awesome-ppdm
Privacy-preserving data-mining resources
DongSuIBM/PrivBasis
The source code of the PrivBasis algorithm
mflu/mflu.github.io
homepage of mflu
coursephd/PostgreSQL
Hospital data access
Gagan6730/Co-Location-Pattern-Mining
Co-Location Pattern Mining
Gagan6730/Fraction-Score
Implementation of Co-location pattern mining using fraction score as support measure in Apache Spark.
jyan16/UFO
This is the project of Brown cs1951a
Thyra/biopeter
Association Rules for regex patterns in amino acid sequences
aaeviru/thesis
prheenan/Research
wsgan001/MSGSP-3
Sequence Mining Algorithm with multiple supports for Strings of events