Clustering documents based on semantic similarity using HAC and K-mean algorithms

K Jacksi, RK Ibrahim, SRM Zeebaree… - 2020 International …, 2020 - ieeexplore.ieee.org
The continuing success of the Internet has greatly increased the number of text documents
in electronic formats. The techniques for grou** these documents into meaningful …

[PDF][PDF] Survey on semantic similarity based on document clustering

R Ibrahim, S Zeebaree, K Jacksi - Adv. sci. technol. eng. syst. j, 2019 - researchgate.net
Clustering is a branch of data mining which involves grou** similar data in a collection
known as cluster. Clustering can be used in many fields, one of the important applications is …

“Dirclustering”: a semantic clustering approach to optimize website structure discovery during penetration testing

D Antonelli, R Cascella, A Schiano, G Perrone… - Journal of Computer …, 2024 - Springer
Dirbusting is a technique used to brute force directories and file names on web servers while
monitoring HTTP responses in order to enumerate server contents. Such a technique uses …

Predicting outcomes of court judgments-a machine learning approach

A Shelar, M Moharir - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Legal analytics recently is going through transformational journey with new machine
learning models producing promising results. This paper is an attempt to predict outcomes of …

Semantic customers' segmentation

J Poncelet, PA Jean, F Trousset, J Montmain - Internet Science: 6th …, 2019 - Springer
Many approaches have been proposed to allow customers' segmentation in retail sector.
However, very few contributions exploit the existing semantics links that may exist between …

Cs5604 fall 2020: Electronic thesis and dissertation (etd) team

J Fan, N Hardy, S Furman, J Manzoor, A Nguyen… - 2020 - vtechworks.lib.vt.edu
Abstract The Fall 2020 CS 5604 (Information Storage and Retrieval) class, led by Dr.
Edward Fox, is building an information retrieval and analysis system that supports electronic …

An evolutionary approach to bibliographic classification

DL Sims - 2018 - trace.tennessee.edu
This dissertation is research in the domain of information science and specifically, the
organization and representation of information. The research has implications for …

[PDF][PDF] KID-LGI2P: Knowledge and Image analysis for Decision making

J MONTMAIN - Bulletin N o 97 - hal.science
Qu'elle soit individuelle ou collective, la prise de décision découle d'un ensemble
d'informations qui sont analysées, croisées et intégrées tout au long du processus …