Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part V
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Article
Open AccessExtracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph
This paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It employs a weighted hypergraph to connect the information of the...
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Article
A multi-label transformer-based deep learning approach to predict focal visual field progression
Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part III
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part IV
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part VI
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part I
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II
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Reference Work Entry In depth
On Genetic-Fuzzy Data-Mining Techniques
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Living Reference Work Entry In depth
On Genetic-Fuzzy Data-Mining Techniques
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Article
Open AccessComparisons of deep learning algorithms for diagnosing bacterial keratitis via external eye photographs
Bacterial keratitis (BK), a painful and fulminant bacterial infection of the cornea, is the most common type of vision-threatening infectious keratitis (IK). A rapid clinical diagnosis by an ophthalmologist ma...
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Book and Conference Proceedings
Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part I
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Book and Conference Proceedings
Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III
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Chapter and Conference Paper
Correction to: Database Systems for Advanced Applications
The original version of the book was inadvertently published with incorrect acknowledgements in chapters 28 and 31. The acknowledgements have been corrected and read as follows: Acknowledgement: “This paper is...
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Book and Conference Proceedings
Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part II
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Article
Open AccessA deep learning approach in diagnosing fungal keratitis based on corneal photographs
Fungal keratitis (FK) is the most devastating and vision-threatening microbial keratitis, but clinical diagnosis a great challenge. This study aimed to develop and verify a deep learning (DL)-based corneal pho...
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Article
Discovering negative comments by sentiment analysis on web forum
Social media enables people to communicate with each other on the Internet in real-time and rich styles. In other words, there is a lot of information on the social media. If we can extract negative opinions o...
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Book
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Chapter and Conference Paper
Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism
Multivariate time-series early classification is an emerging topic in data mining fields with wide applications like biomedicine, finance, manufacturing, etc. Despite of some recent studies on this topic that ...
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Chapter and Conference Paper
Mining Emerging High Utility Itemsets over Streaming Database
HUIM (High Utility Itemset Mining) is a classical data mining problem that has gained much attention in the research community with a wide range of applications. The goal of HUIM is to identify all itemsets whose...
