Vincent T. Y. Ng

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An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on eecient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such(More)
Many sequential algorithms have been proposed for mining of association rules. However, very little work has been done in mining association rules in distributed databases. A direct application of sequential algorithms to distributed databases is not eeective, because it requires a large amount of communication overhead. In this study, an eecient algorithm,(More)
BACKGROUND Coronal malalignment occurs frequently in TKA and may affect implant durability and knee function. Designed to improve alignment accuracy and precision, the patient-specific positioning guide is predicated on restoration of the overall mechanical axis and is a multifaceted new tool in achieving traditional goals of TKA. QUESTIONS/PURPOSES We(More)
A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. In recent years, it has been shown that sparse representation (SR) by l_1-norm minimization is robust to noise, outliers and even incomplete measurements, and SR has been successfully used for classification. This paper presents a new SR-based method(More)
Restoration of an overall neutral mechanical axis has been a long-held tenet in total knee arthroplasty (TKA). Numerous biomechanical, finite element, and clinical studies have demonstrated that coronal malalignment, particularly varus, is associated with increased strain, higher failure rates, and, in some cases, poorer outcomes. With advances in(More)
BACKGROUND Recent case studies on the surgical treatment of femoroacetabular impingement (FAI) have introduced a large amount of clinical data. However, there has been no clear consensus on its efficacy. HYPOTHESIS The current literature can be clarified to address 4 questions: (1) Does treatment for FAI succeed in improving symptoms? (2) In which subset(More)
A reliable and precise identification of the type of tumors is crucial to the effective treatment of cancer. With the rapid development of microarray technologies, tumor clustering based on gene expression data is becoming a powerful approach to cancer class discovery. In this paper, we apply the penalized matrix decomposition (PMD) to gene expression data(More)
OBJECTIVE Femoroacetabular impingement (FAI) is a common cause of hip discomfort in young adults. Recently, a better understanding of the pathomechanics and morphologic abnormalities in the hip has implicated FAI as a possible factor in early osteoarthrosis. The clinical presentation, physical examination findings, and radiographic features are discussed in(More)