Document clustering: TF-IDF approach
Recent advances in computer and technology resulted into ever increasing set of
documents. The need is to classify the set of documents according to the type. Laying …
documents. The need is to classify the set of documents according to the type. Laying …
A many-objective evolutionary algorithm using a one-by-one selection strategy
Most existing multiobjective evolutionary algorithms experience difficulties in solving many-
objective optimization problems due to their incapability to balance convergence and …
objective optimization problems due to their incapability to balance convergence and …
Topic modelling twitter data with latent dirichlet allocation method
Twitter is a popular social media for every user to issue thoughts and emotional forms which
are tweets, tweets that only have 140 characters with limitations to write in text. Twitter is one …
are tweets, tweets that only have 140 characters with limitations to write in text. Twitter is one …
Privacy in the cloud: A survey of existing solutions and research challenges
Private data is transmitted and stored online every second. Therefore, security and privacy
assurances should be provided at all times. However, that is not always the case. Private …
assurances should be provided at all times. However, that is not always the case. Private …
[HTML][HTML] Advancing sustainable development goals: embedding resilience assessment
Accelerating challenges to cities and communities have triggered a growing interest in the
assessment of resilience and sustainability of future developments. For this purpose, many …
assessment of resilience and sustainability of future developments. For this purpose, many …
Using granular computing to measure the similarity of sustainable development in China: Addressing goals 1, 3, 8, 10 and 15 of the SDGs
W Liao, Q Qu, S Liang, W Jiang - Environmental Development, 2023 - Elsevier
There are regional imbalances in the construction of sustainable development in China, and
a framework needs to be proposed to measure it. In this study, a similarity measurement …
a framework needs to be proposed to measure it. In this study, a similarity measurement …
Evaluation of text document clustering approach based on particle swarm optimization
S Karol, V Mangat - Open Computer Science, 2013 - degruyter.com
Clustering, an extremely important technique in Data Mining is an automatic learning
technique aimed at grouping a set of objects into subsets or clusters. The goal is to create …
technique aimed at grouping a set of objects into subsets or clusters. The goal is to create …
[HTML][HTML] Adverse drug event discovery using biomedical literature: a big data neural network adventure
Background: The study of adverse drug events (ADEs) is a tenured topic in medical
literature. In recent years, increasing numbers of scientific articles and health-related social …
literature. In recent years, increasing numbers of scientific articles and health-related social …
Measuring urban regional similarity through mobility signatures
G McKenzie, D Romm - Computers, Environment and Urban Systems, 2021 - Elsevier
The task of identifying similar regions within and between cities is an important aspect of
urban data science as well as applied domains such as real estate, tourism, and urban …
urban data science as well as applied domains such as real estate, tourism, and urban …
A weight vector generation method based on normal distribution for preference-based multi-objective optimization
J Zheng, Z Du, J Zou, S Yang - Swarm and Evolutionary Computation, 2023 - Elsevier
In researching multi-objective evolutionary algorithms (MOEAs), the decision-maker (DM)
may not need the entire Pareto optimal front searched and may only be interested in the …
may not need the entire Pareto optimal front searched and may only be interested in the …