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Systematic review of privacy-preserving distributed machine learning from federated databases in health care
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 …
challenges of health care, such as rising cost, aging population, precision medicine …
Data mining in distributed environment: a survey
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 …
be used to utilize the computations. Data mining (DM) provides powerful techniques for …
[PDF][PDF] New algorithms for fast discovery of association rules.
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 …
present new algorithms for fast association mining, which scan the database only once …
Privacy-preserving distributed mining of association rules on horizontally partitioned data
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 …
collections are split among various parties. Privacy concerns may prevent the parties from …
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the
problem of association rule mining where transactions are distributed across sources. Each …
problem of association rule mining where transactions are distributed across sources. Each …
[ספר][B] Association rule mining: models and algorithms
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 …
may be either an advantage or a disadvantage to a decision objective. For the purpose of …
Mining association rules with weighted items
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 …
all items in a basket database are treated uniformly. We generalize this to the case where …
[PDF][PDF] Accessing nearby copies of replicated objects in a distributed environment
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 …
object may exist at any given time. To ensure both fast access to the objects as well as …
Parallel algorithms for discovery of association rules
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 …
sequential algorithms have been proposed in the literature to solve this problem. Almost all …
[HTML][HTML] Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …
enables the identification of trends, frequent patterns, and relationships among the data …