Building operations account for the largest proportion of energy use throughout the building
life cycle. The energy saving potential is considerable taking into account the existence of a …

A large percentage of computing capacity in today's large high-performance computing
systems is wasted because of failures. Consequently current research is focusing on …

In this paper, we present Para Miner which is a generic and parallel algorithm for closed
pattern mining. Para Miner is built on the principles of pattern enumeration in strongly …

The development of information technologies has enabled real-time monitoring and controls
over building operations. Massive amounts of building operational data are being collected …

As we near exascale, resilience remains a major technical hurdle. Any technique with the
goal of achieving resilience suffers from having to be reactive, as failures can appear at any …

Gradual dependencies of the form the more A, the more B offer valuable information that
linguistically express relationships between variations of the attributes. Several …

Gradual patterns allow for retrieval of the correlations between attributes through rules such
as" the more exercise, the less stress". However, it is possible that a temporal lag may exist …

This paper clarifies the relation between case-based prediction and analogical transfer.
Case-based prediction consists in predicting the outcome associated with a new case …

Mining frequent simultaneous attribute co-variations in numerical databases is also called
frequent gradual pattern problem. Few efficient algorithms for automatically extracting such …

Gradual patterns, capturing intricate attribute co-variations expressed as” when X
increases/decreases, Y increases/decreases” in numerical data, play a vital role in …