liuyn0505

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

  Language:Python127

• 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。

  Language:Python322

• 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

  Language:Java82

• kfpyzi/Thesis

  Learning of High Dengue Incidence with Clustering and FP-Growth Algorithm using WHO Historical Data

  Language:Python2

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.9k4.7k

• kang205/SASRec

  SASRec: Self-Attentive Sequential Recommendation

  Language:Python716153

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.5k3.5k

• liuyn0505/sli_rec

  1

• liuyn0505/Santander-Product-Recommendation

  2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

  Language:R1

• wepe/TianChi-Industry4.0-Competition

  1st Place Solution for TianChi-Industry4.0-Competition

  Language:Python171142