liuyn0505's Stars
andreasjansson/parallel-frequent-itemset-mining-lastfm360k
Hadoop streaming implementation of Li, et al: "PFP: Parallel FP-Growth for Query Recommendation", applied to the lastfm360k dataset
CLDXiang/Mining-Frequent-Pattern-from-Search-History
《大数据挖掘技术》@复旦 课程项目,试图从搜狗实验室用户查询日志数据(2008)中找出搜索记录中有较高支持度关键词的频繁二项集。在实现层面上,我搭建了一个由五台服务器组成的微型 Hadoop 集群,并且用 Python 实现了 Parallel FP-Growth 算法中的三个 MapReduce 过程。
mitul227/Parallel-FP-Growth
Implementation of Parallel FP Growth Algorithm on a Hadoop Cluster for mining frequent itemsets from a large transactional Database using Map Reduce Programming
kfpyzi/Thesis
Learning of High Dengue Incidence with Clustering and FP-Growth Algorithm using WHO Historical Data
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
kang205/SASRec
SASRec: Self-Attentive Sequential Recommendation
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
liuyn0505/sli_rec
liuyn0505/Santander-Product-Recommendation
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
wepe/TianChi-Industry4.0-Competition
1st Place Solution for TianChi-Industry4.0-Competition