Big data for health care is one of the potential solutions to deal with the numerous
challenges of health care, such as rising cost, aging population, precision medicine …

Due to the rapid growth of resource sharing, distributed systems are developed, which can
be used to utilize the computations. Data mining (DM) provides powerful techniques for …

Discovery of association rules is an important problem in database mining. In this paper we
present new algorithms for fast association mining, which scan the database only once …

Privacy considerations often constrain data mining projects. This paper addresses the
problem of association rule mining where transactions are distributed across sources. Each …

Data mining can extract important knowledge from large data collections ut sometimes these
collections are split among various parties. Privacy concerns may prevent the parties from …

Privacy preserving mining of distributed data has numerous applications. Each application
poses different constraints: What is meant by privacy, what are the desired results, how is the …

During decision making, we are often confronted by a huge amount of factors. These factors
may be either an advantage or a disadvantage to a decision objective. For the purpose of …

Discovery of association rules has been found useful in many applications. In previous work,
all items in a basket database are treated uniformly. We generalize this to the case where …

Consider a set of shared objects in a distributed network, where several copies of each
object may exist at any given time. To ensure both fast access to the objects as well as …

Discovery of association rules is an important data mining task. Several parallel and
sequential algorithms have been proposed in the literature to solve this problem. Almost all …