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Data Mining

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FLeAC: A Human-Centered Associative Classifier Using the Validity Concept.

IEEE transactions on cybernetics
Fuzzy associative classifiers (FACs) have recently received considerable attention in the data mining community due to their ability to address the imprecision and graduality of truth. Similar to their more traditional statistical peers, these classi...

A Complete Process of Text Classification System Using State-of-the-Art NLP Models.

Computational intelligence and neuroscience
With the rapid advancement of information technology, online information has been exponentially growing day by day, especially in the form of text documents such as news events, company reports, reviews on products, stocks-related reports, medical re...

Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

Computational intelligence and neuroscience
The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Based on people's interest and concern for their health, the smart bracelet, as a design and application for achieving healthy weight loss monitoring, is ...

Deep Graph Learning for Anomalous Citation Detection.

IEEE transactions on neural networks and learning systems
Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to scholarly data, that is, anomaly detection in a citation network. Cit...

Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.

Computational intelligence and neuroscience
This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent full convolution and polarization change. RFC-Net enriches the network by reconstructing and fine-tuning the fully convolutional network and adding rec...

Construction and Application of Text Entity Relation Joint Extraction Model Based on Multi-Head Attention Neural Network.

Computational intelligence and neuroscience
Entity relationship extraction is one of the key areas of information extraction and is an important research content in the field of natural language processing. Based on past research, this paper proposes a combined extraction model based on a mult...

Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping.

IEEE transactions on cybernetics
Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, including conventional and deep-learning-based methods, have been proposed in the literature. In most existing methods, a high-qu...

Improved WOA and its application in feature selection.

PloS one
Feature selection (FS) can eliminate many redundant, irrelevant, and noisy features in high-dimensional data to improve machine learning or data mining models' prediction, classification, and computational performance. We proposed an improved whale o...

Past and future uses of text mining in ecology and evolution.

Proceedings. Biological sciences
Ecology and evolutionary biology, like other scientific fields, are experiencing an exponential growth of academic manuscripts. As domain knowledge accumulates, scientists will need new computational approaches for identifying relevant literature to ...

E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

Computational intelligence and neuroscience
China Internet plus agriculture was first put forward in 2015 by the Chinese government's work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural produ...