A systematic review on supervised and unsupervised machine learning algorithms for data science
Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …
data science in general. The purpose of the systematic review was to analyze scholarly …
Machine learning from theory to algorithms: an overview
Abstract The current SMAC (Social, Mobile, Analytic, Cloud) technology trend paves the way
to a future in which intelligent machines, networked processes and big data are brought …
to a future in which intelligent machines, networked processes and big data are brought …
[图书][B] Supervised and unsupervised learning for data science
Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec
The purpose of document classification is to assign the most appropriate label to a specified
document. The main challenges in document classification are insufficient label information …
document. The main challenges in document classification are insufficient label information …
An intelligent blockchain-based system for safe vaccine supply and supervision
Immunization is an indispensable mechanism for preventing infectious diseases in modern
society, and vaccine safety is closely related to public health and national security. However …
society, and vaccine safety is closely related to public health and national security. However …
On the effectiveness of machine and deep learning for cyber security
Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …
traditional rule-based algorithms. These methods are being integrated in cyber detection …
Legal judgment prediction via topological learning
Abstract Legal Judgment Prediction (LJP) aims to predict the judgment result based on the
facts of a case and becomes a promising application of artificial intelligence techniques in …
facts of a case and becomes a promising application of artificial intelligence techniques in …
[HTML][HTML] Social media analytics: a survey of techniques, tools and platforms
B Batrinca, PC Treleaven - Ai & Society, 2015 - Springer
This paper is written for (social science) researchers seeking to analyze the wealth of social
media now available. It presents a comprehensive review of software tools for social …
media now available. It presents a comprehensive review of software tools for social …
[HTML][HTML] A novel approach for dimension reduction using word embedding: An enhanced text classification approach
KN Singh, SD Devi, HM Devi, AK Mahanta - International Journal of …, 2022 - Elsevier
One of the challenging tasks in text classification is to reduce the dimensional feature space.
This paper discusses an enhanced text classification method using Bag-of-Words …
This paper discusses an enhanced text classification method using Bag-of-Words …
Few-shot charge prediction with discriminative legal attributes
Automatic charge prediction aims to predict the final charges according to the fact
descriptions in criminal cases and plays a crucial role in legal assistant systems. Existing …
descriptions in criminal cases and plays a crucial role in legal assistant systems. Existing …