Ming-Yen Lin

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Many parallelization techniques have been proposed to enhance the performance of the Apriori-like frequent itemset mining algorithms. Characterized by both map and reduce functions, MapReduce has emerged and excels in the mining of datasets of terabyte scale or larger in either homogeneous or heterogeneous clusters. Minimizing the scheduling overhead of(More)
Sequential patterns in customer transactional databases are commonly mined for E-Commerce recommendations. In many practical applications, the absence of certain item-sets and sequences could have important implications. Mining frequent sequences comprising not only the occurrence but also the absence of certain sequences will increase the accuracy of(More)
BACKGROUND Hepatitis B virus (HBV) and hepatitis C virus (HCV) infections may lead to nephropathy. However, the association between different types of viral hepatitis and chronic kidney disease (CKD) is not well established. STUDY DESIGN Cross-sectional study. SETTING & PARTICIPANTS A large-scale community study with 54,966 adults in a Taiwanese county(More)
BACKGROUND Glomerular filtration rate (GFR) and co-morbidity at dialysis initiation in relation to mortality in end-stage renal disease is still controversial. We studied factors potentially related to the mortality in incident haemodialysis (HD) patients. METHODS A national database included 23 551 incident HD patients from July 2001 to December 2004.(More)
BACKGROUND AND OBJECTIVES In the 2002 dengue outbreak in Taiwan, some fatal cases had the underlying disease of renal failure (RF). Physicians faced difficulty in diagnosis and treatment of these patients; however, the impacts of RF on the clinical presentations and outcomes of dengue infection have not been reported previously. DESIGN, SETTING,(More)
BACKGROUND AND OBJECTIVES Increased arterial stiffness was reported to be associated with decreased estimated GFR (eGFR). Previous studies suggested that arterial stiffness might play a role in renal function progression in patients with chronic kidney disease (CKD). The aim of this study was to investigate whether there was an independent association(More)
Sequential pattern mining is a challenging issue because of the high complexity of temporal pattern discovering from numerous sequences. Current mining approaches either require frequent database scanning or the generation of several intermediate databases. As databases may fit into the ever-increasing main memory, efficient memory-based discovery of(More)
BACKGROUND AND OBJECTIVES The risk factors for CKD in different age groups remain unknown. This community-based study aimed to identify the risk factors for CKD in elderly and nonelderly patients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS A multistage sampling survey for CKD was conducted in 2007 in Kaohsiung County, an area with the highest(More)
Current approaches for sequential pattern mining usually assume that the mining is performed in a static sequence database. However, databases are not static due to update so that the discovered patterns might become invalid and new patterns could be created. In addition to higher complexity, the maintenance of sequential patterns is more challenging than(More)