The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''

Course Project of Information Retrieval.

This is projects of Data Mining

A porting to modern g++ and C+11 of the IBM Quest dataset generator

The project or work which goals to extract the opinions, emotions, attitudes of public towards different object of interest. Sentiment analysis is a form of shallow semantic analysis of texts. In the project an automatic approach that involves supervised machine learning and text mining classification algorithms are used which includes the senti…

A project for streaming algorithms: Bloom filtering, Flajolet-Martin Algorithm, Fixed-Size Sampling

Implementation de l'algorithme de generation des items frequents en python et l'application sur une base de donnes diabetique

Course Notes

This is a data mining project that analyzes apple quality attributes to classify apples as "good" or "bad." We use Exploratory Data Analysis (EDA) to visualize data distributions and identify key factors. The study offers recommendations for improving apple production and marketing.

Implementing Gaussian Naive Bayes and KNN from scratch and evaluating their performances on heart dataset

KNN algorithm in big data for the detection of anomalies using Apache Spark and Scala

FP Growth algorithm implemented using python

Code for the paper "SPEck: Mining Statistically-significant Sequential Patterns Efficiently with Exact Sampling", by Steedman Jenkins, Stefan Walzer-Goldfeld, and Matteo Riondato, appearing in the Data Mining and Knowledge Discovery Special Issue for ECML PKDD'22.

The dataset is about past loans. The loan_train.csv data set includes details of 346 customers whose loans are already paid off or defaulted.

Python Implementation of data mining algorithms(Apriori, Eclact, FP Growth ).

一些数据挖掘算法

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

This contains all projects that I have done during my master degree.

Course Code: CS626, MCS Batch-2019 (Final Year) Evening

simple clustering