Yijun Lu

Learn More
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classii-cation, and prediction. By incorporating several interesting data mining techniques, including(More)
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, clas-siication, prediction, and clustering. By incorporating several interesting data(More)
In this paper, we argue that a broad range of Internet-scale distributed applications can benefit from an underlying low-cost consistency detection framework – an alternative to inconsistency avoidance that can detect inconsistency among nodes sharing data or services in a timely manner.. After introducing a framework of inconsistency detection, this paper(More)
Similarity search on time-series data sets is of growing importance in data mining. With the increasing amount of data of time-series in many applications, from nancial to scientiic, it is important to study the methods of retrieving similarity patterns eeciently and user friendly for business decision making. The thesis proposes methods of eecient(More)
In this paper, we argue that a broad range of Internet-scale distributed applications can benefit from an underlying low-cost consistency detection framework that is an alternative to inconsistency avoidance and can detect inconsistency among nodes sharing data or services in a timely manner. This paper first presents an overview of the inconsistency(More)
In Internet-scale distributed and replicated services, poor consistency results in poor QoS or even monetary loss. Recent research focuses on enforcing a certain consistency level, instead of perfect consistency, to strike a balance between consistency guarantee and system's scalability. In this paper, we argue that it is equally, if not more, important to(More)
To maintain consistency, designers of replicated services have traditionally been forced to choose from either strong consistency guarantees or none at all. Realizing that a continuum between strong and optimistic consistencies is semantically meaningful for a broad range of network services, previous research has proposed a continuous consistency model for(More)
In our previous study, we observed the crosstalk between peroxisome proliferator-activated receptor-γ (PPAR-γ) and angiotensin II in activated renal tubular cells. The present study is aimed to further explore the crosstalk between PPAR-γ and mineralocorticoid receptor (MR) in tumor necrosis factor (TNF)-α activated renal tubular cells. Human proximal renal(More)
With the increased popularity of replica-based services in distributed systems such as the Grid, consistency control among replicas becomes more and more important. To this end, IDF (Inconsistency Detection Framework), a two-layered overlay-based architecture, has been proposed as a new way to solve this problem—instead of enforcing a predefined consistency(More)