[PDF][PDF] Content Based Automated File Organization Using Machine Learning Approaches.
In the world of big data, it's quite a task to organize different files based on their similarities.
Dealing with heterogeneous data and kee** a record of every single file stored in any …
Dealing with heterogeneous data and kee** a record of every single file stored in any …
A comprehensive and analytical review of text clustering techniques
Document clustering involves grou** together documents so that similar documents are
grouped together in the same cluster and different documents in the different clusters …
grouped together in the same cluster and different documents in the different clusters …
A novel approach for ranking web documents based on query-optimized personalized pagerank
Ranking plays an important role in the search process of web documents on a huge corpus.
This not only reduces the searching time but also provides useful documents to the users. In …
This not only reduces the searching time but also provides useful documents to the users. In …
Job runtime prediction of HPC cluster based on PC-Transformer
F Chen - The Journal of Supercomputing, 2023 - Springer
Job scheduling of high performance cluster is a crucial task that affects the efficiency and
performance of the system. The accuracy of job runtime prediction is one of the key factors …
performance of the system. The accuracy of job runtime prediction is one of the key factors …
[PDF][PDF] Freeway accident duration prediction based on social network information
KK Ji, ZZ Li, J Chen, KL Liu, GY Wang - Neural Network World, 2022 - nnw.cz
Accident duration prediction is the basis of freeway emergency management, and timely and
accurate accident duration prediction can provide a reliable basis for road traffic diversion …
accurate accident duration prediction can provide a reliable basis for road traffic diversion …
Research on Intelligent Retrieval Method of Teaching Resources on Large‐Scale Network Platform
X Su, T Zhang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
With the increase in information on various cloud computing platforms, there are more and
more teaching documents and videos, which provide sufficient resources for people to learn …
more teaching documents and videos, which provide sufficient resources for people to learn …
Dynamic Search Results Re-ranking Method by Advertisement Relevance Feedback based on Users' Unconscious Expectations for Listing Advertisement
D Li, S Hamaguchi, R Suyama, S Nakajima… - … Proceedings of the ACM …, 2024 - dl.acm.org
Search results hold paramount importance for both users and advertisers. However, re-
ranking results based on the timing of user clicks on listing advertisements poses a …
ranking results based on the timing of user clicks on listing advertisements poses a …
Know-linking: When Machine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies
When thousands of employees in a company meet a variety of resources and tools to build
long term projects, the result is a knowledge explosion! the goal of companies since several …
long term projects, the result is a knowledge explosion! the goal of companies since several …
[PDF][PDF] IMPLEMENTACIÓN Y EVALUACIÓN DE TÉCNICAS DE CLUSTERING PARA UN SISTEMA DE RECUPERACIÓN DE DOCUMENTOS JURISPRUDENCIALES
CEV BURBANO, JMB BOLAÑOS, FU DE POPAYÁN - fupvirtual.edu.co
En Colombia el precedente judicial facilita la toma de decisiones por parte de los jueces
basándose en sentencias anteriores. Sin embargo, los profesionales del derecho deben …
basándose en sentencias anteriores. Sin embargo, los profesionales del derecho deben …
Improvement and Analysis of Semantic Similarity Algorithm Based on Linguistic Concept Structure
S **ao, C Di, P Li - Complexity, 2021 - Wiley Online Library
With the rapid development of information age, various social groups and corresponding
institutions are producing a large amount of information data every day. For such huge data …
institutions are producing a large amount of information data every day. For such huge data …