Search Results - "Koh, Yun Sing"

Detecting concept change in dynamic data streams: A sequential approach based on reservoir sampling by Pears, Russel, Sakthithasan, Sripirakas, Koh, Yun Sing

“…In this research we present a novel approach to the concept change detection problem. Change detection is a fundamental issue with data stream mining as…”
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Recurring concept meta-learning for evolving data streams by Anderson, Robert, Koh, Yun Sing, Dobbie, Gillian, Bifet, Albert

“…•A fast, accurate classification framework for data streams that reuses classifiers.•More accurate than a state-of-the-art classifier reuse framework on…”
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REAL-Time Smartphone Activity Classification Using Inertial Sensors-Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking by Zhuo, Sijie, Sherlock, Lucas, Dobbie, Gillian, Koh, Yun Sing, Russello, Giovanni, Lottridge, Danielle

“…By developing awareness of smartphone activities that the user is performing on their smartphone, such as scrolling feeds, typing and watching videos, we can…”
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Detecting online auction shilling frauds using supervised learning by Tsang, Sidney, Koh, Yun Sing, Dobbie, Gillian, Alam, Shafiq

“…•Proposed approach for fraud detection using machine learning and synthetic data.•Applied approach to detecting two variations of a fraud called competitive…”
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Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency by Halstead, Ben, Koh, Yun Sing, Riddle, Patricia, Pears, Russel, Pechenizkiy, Mykola, Bifet, Albert

“…A data stream is a sequence of observations produced by a generating process which may evolve over time. In such a time-varying stream the relationship between…”
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Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis by Zhou, Wei, Wen, Junhao, Koh, Yun Sing, Xiong, Qingyu, Gao, Min, Dobbie, Gillian, Alam, Shafiq

“…Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect…”
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Harnessing the Power of Graph Representation in Climate Forecasting: Predicting Global Monthly Mean Sea Surface Temperatures and Anomalies by Ning, Ding, Vetrova, Varvara, Bryan, Karin R., Koh, Yun Sing

“…The variability of sea surface temperatures (SSTs) is crucial in climate dynamics, influencing marine ecosystems and human activities. This study leverages…”
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A graph based approach to inferring item weights for pattern mining by Pears, Russel, Pisalpanus, Songwut, Koh, Yun Sing

“…•We infer unknown items weights from a small subset of known landmark weights.•Domain specific knowledge is used to guide the weight inference process.•A graph…”
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Web bots detection using Particle Swarm Optimization based clustering by Alam, Shafiq, Dobbie, Gillian, Yun Sing Koh, Riddle, Patricia

“…Optimization based techniques have emerged as important methods to tackle the problems of efficiency and accuracy in data mining. One of the current…”
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Hierarchical PSO clustering based recommender system by Alam, S., Dobbie, G., Riddle, P., Yun Sing Koh

“…Due to a marked increase in the number of web users and their activities, many application areas that use patterns generated from their activities has been…”
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GPU-based State Adaptive Random Forest for Evolving Data Streams by Wu, Ocean, Sing Koh, Yun, Russello, Giovanni

“…Random forest is an ensemble method used to improve the performance of single tree classifiers. In evolving data streams, the classifier needs to be adaptive…”
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CD-TDS: Change detection in transactional data streams for frequent pattern mining by Yun Sing Koh

“…Online mining is a difficult task especially when such data streams evolve over time. Evolving data stream occurs when concepts drift or change completely, is…”
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Detecting Volatility Shift in Data Streams by Huang, David Tse Jung, Yun Sing Koh, Dobbie, Gillian, Pears, Russel

“…Current drift detection techniques detect a change in distribution within a stream. However, there are no current techniques that analyze the change in the…”
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Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata by Devine, Peter, Koh, Yun Sing, Blincoe, Kelly

“…Understanding users’ needs is crucial to building and maintaining high quality software. Online software user feedback has been shown to contain large amounts…”
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Towards Knowledgeable Supervised Lifelong Learning Systems by Benavides-Prado, Diana, Koh, Yun Sing, Riddle, Patricia

“…Learning a sequence of tasks is a long-standing challenge in machine learning. This setting applies to learning systems that observe examples of a range of…”
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Regional bias in monolingual English language models by Lyu, Jiachen, Dost, Katharina, Koh, Yun Sing, Wicker, Jörg

“…In Natural Language Processing (NLP), pre-trained language models (LLMs) are widely employed and refined for various tasks. These models have shown…”
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Mining local and peak high utility itemsets by Fournier-Viger, Philippe, Zhang, Yimin, Chun-Wei Lin, Jerry, Fujita, Hamido, Koh, Yun Sing

“…A major limitation of traditional High Utility Itemset Mining (HUIM) algorithms is that they do not consider that the utility of itemsets may vary over time…”
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1505: Development of an AI predictive model for patient selection for adaptive head and neck radiotherapy by Ashburner, Mark, Ali, Omer, Dobbie, Gill, Guo, Xinyi, Koh, Yun Sing

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Research on particle swarm optimization based clustering: A systematic review of literature and techniques by Alam, Shafiq, Dobbie, Gillian, Koh, Yun Sing, Riddle, Patricia, Ur Rehman, Saeed

“…Optimization based pattern discovery has emerged as an important field in knowledge discovery and data mining (KDD), and has been used to enhance the…”
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Analyzing and repairing concept drift adaptation in data stream classification by Halstead, Ben, Koh, Yun Sing, Riddle, Patricia, Pears, Russel, Pechenizkiy, Mykola, Bifet, Albert, Olivares, Gustavo, Coulson, Guy

“…Data collected over time often exhibit changes in distribution, or concept drift , caused by changes in factors relevant to the classification task, e.g…”
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