L1hao

L1hao's Stars

• RupinderRana/Earthquake_prediction

  Language:Jupyter Notebook4

• smousavi05/STEAD

  STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

  Language:Python27967

• wangzhiwubigdata/God-Of-BigData

  专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

  9.7k3.1k

• MoRan1607/BigDataGuide

  大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

  Language:Java2.7k871

• heibaiying/BigData-Notes

  大数据入门指南 :star:

  Language:Java15.9k4.2k

• guyfrancoeur/ciclad

  ciclad C++ :: A super fast Streaming, memory ultra-lite, sliding-window Closed Itemset Miner

  Language:C++48

• uma-pi1/lash

  Large-Scale Sequence Mining with Hierarchies

  Language:Java146

• uma-pi1/mgfsm

  Large scale frequent sequence mining

  Language:Java4221

• Wisteria30/GIM-RL

  PyTorch source code for "Generic Itemset Mining Based on Reinforcement Learning"

  Language:Python61

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.4k1.9k

• unik00/EAFIM

  EAFIM: efficient apriori-based frequent itemset mining algorithmon Spark for big transactional data

  Language:Java4

• ua-adrem/bigfim

  Frequent itemset mining implementation for MapReduce framework.

  Language:Java85

• chuongdk/MapFIMv2

  Language:Java1

• 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

• jingpeicomp/product-relation-mining

  商品关联关系挖掘，使用Spring Boot开发框架和Spark MLlib机器学习框架，通过FP-Growth算法，分析用户的购物车商品数据，挖掘商品之间的关联关系。项目对外提供RESTFul接口。

  Language:Java3318

• yanlab19870714/PrefixFPM

  A Parallel Framework for Frequent Pattern Mining along with Three Applications

  Language:C++82

• changechenyu/chenyuEbook

  1000多个电子书涉及方向有C/C++、java基础、java服务端、php、Go、C#、python、前端(小程序、uniapp、跨平台...)、Android/ios、数据结构和算法、面试、linux入门、linux c/c++服务端、嵌入式、运维、linux内核、linux内核、linux驱动、底层操作系统、计算机网络、设计模式、数据库、大数据、云计算、区块链、windows开发、游戏开发、安全与逆向、并发编程、架构设计、重构优化、鸿蒙系统开发、机器学习、深度学习、matlab、计算机视觉、数据挖掘、自然语言处理、数字图像处理、机器人开发、等主流计算机开发40多个方向

  427105

• 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