Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part I
Page
%P
60 Result(s)
within
Vincent S. Tseng
Computer Science
Data Mining and Knowledge Discovery
-
Book and Conference Proceedings
-
Book and Conference Proceedings
Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III
-
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...
-
Book and Conference Proceedings
Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part II
-
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 ...
-
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...
-
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...
-
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
-
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
-
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
-
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 ...
-
Chapter and Conference Paper
Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings
Music data has been becoming bigger and bigger in recent years. It makes online music stores hard to provide the users with good personalized services. Therefore, a number of past studies were proposed for eff...
-
Article
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
In recent years, high-utility itemset mining has emerged as an important data mining task. However, it remains computationally expensive both in terms of runtime and memory consumption. It is thus an important...
-
Chapter and Conference Paper
Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms
With the popularity of Internet of Things (IOT) applications, various kinds of active sensors are deployed and multivariate time series datasets are generated rapidly. Early classification of multivariate time...
-
Chapter and Conference Paper
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
In recent years, with the advances in mobile communication and growing popularity of the fourth-generation mobile network along with the enhancement in location positioning techniques, mobile devices have gen...
-
Chapter and Conference Paper
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
The use of intelligent technologies in clinical decision making have started playing a vital role in improving the quality of patients’ life and hel** in reduce cost and workload involved in their daily heal...
-
Chapter and Conference Paper
Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases
Some important limitation of frequent itemset mining are that it assumes that each item cannot appear more than once in each transaction, and all items have the same importance (weight, cost, risk, unit profit...
-
Chapter and Conference Paper
IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment
The use of intelligent technologies in clinical decision making support may play a promising role in improving the quality of heart disease patients’ life and hel** to reduce cost and workload involved in th...
-
Chapter and Conference Paper
Mining Minimal High-Utility Itemsets
Mining high-utility itemsets (HUIs) is a key data mining task. It consists of discovering groups of items that yield a high profit in transaction databases. A major drawback of traditional high-utility itemset...
-
Chapter and Conference Paper
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets
Discovering high-utility temsets in transaction databases is a popular data mining task. A limitation of traditional algorithms is that a huge amount of high-utility itemsets may be presented to the user. To p...
