data-partitioning

There are 8 repositories under data-partitioning topic.

  • Lefteris-Souflas/Business-Analytics-Case-Studies

    Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

    2100

  • osiastossou/ProjetTD-AC

    This paper presents TD-AC which is an effective algorithm for the truth discovery problem when the attributes over data are structurally correlated. We build our procedure on an abstract representation of the truth in the data, the k-means clustering technique and the silhouette measure to automatically find an optimal partitioning of the input data (or a near-optimal) maximizing the accuracy of any base truth discovery process. The intensive experiments conducted on synthetic and real datasets show that TD-AC outperforms existing partitioning approaches with a more reasonable running time. It improves on synthetic datasets the accuracy of standard truth discovery algorithms by 6% at least and by 16% at most and also significantly when the data coverage rate is high for the other types of datasets

    Language:Python2212

  • SourabhSinghRana/zomato_data_warehouse_design

    I recently tried designing a Data Warehouse for Zomato/Swiggy, one of the leading online food delivery platforms. This project has provided me with invaluable hands-on experience, allowing me to apply my skills and knowledge in a real-world scenario.

    2200

  • sketch-imiss/Sketch

    This repository provides streaming algorithms that can be used for monitoring large-scale data streams.

    Language:Python1101

  • lucasimi/zkring

    A Java library for load balancing and partitioning backed by ZooKeeper

    Language:Java00

  • Hashezm/WSPR-Signal-Propagation-Analysis

    A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.

    Language:Jupyter Notebook10

  • rimarin/optimal-physical-layout-query-processing

    Implementation of data partitioning techniques based on several multi-dimensional data structures. Benchmarking on range queries.

    Language:C++

  • sudheerkodali/system-Design

    system-design-and-it-types

    10