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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Vincent S. Tseng
Computer Science
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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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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
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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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...
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Chapter and Conference Paper
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect
Traffic time prediction is a classical problem in intelligent transportation domain, which has attracted lots of attention from the research community in last three decades. The existing relevant works have be...
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Chapter and Conference Paper
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture
Top-k high utility itemset (abbr. Top-k HUI) mining aims at efficiently mining k itemsets having the highest utility without setting the minimum utility thresholds. Although some studies have been conducted on to...
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Chapter and Conference Paper
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition
Identifying a user precisely through mobile-device-based sensing information is a challenging and practical issue as it is usually affected by context and human-action interference. We propose a novel deep lea...
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II
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Chapter and Conference Paper
Mining Trending High Utility Itemsets from Temporal Transaction Databases
In this paper, we address a novel and important topic in the area of HUI mining, named Trending High Utility Itemset (TrendHUI) mining, with the promise of expanding the applications of HUI mining with the power ...
