Association rule mining is known to be computationally intensive, yet real-time decisionmaking applications are increasingly intolerant to delays. The state-of-the-art PARAS 1 solution, a parameter space framework for online association mining, enables efficient rule mining by compactly indexing the final ruleset and providing efficient query-time redundancy resolution. Unfortunately, as many a...

Most current work on discovery of association rules assumes that the database from which the rules are determined is static. The mining operation is performed just once and therefore there is no need of knowledge management integration techniques. However, there are several domains where the database is updated on a regular basis. In these dynamic databases, it is hard to maintain the discovere...

Association rule mining typically focuses on discovering global rules valid across the entire dataset. Yet local rules valid for subsets of the dataset, while significantly different from global rules, are often also of tremendous importance to analysts. In this work, we tackle this overlooked problem of online mining of localized association rules. We provide support for analysts to interactiv...

This paper describes one solution developed to convert textual documents into formlike representations of cases. The experiences described by cases are textual descriptions of legal decisions. Indexing vocabulary and assignment theory contributed in gathering expert knowledge to define attributes and values as well as the required elements to employ template mining. Most index values are automa...

This paper describes one solution developed to convert textual documents into formlike representations of cases. The experiences described by cases are textual descriptions of legal decisions. Indexing vocabulary and assignment theory contributed in gathering expert knowledge to define attributes and values as well as the required elements to employ template mining. Most index values are automa...

Data mining for spatial data has become increasingly important as more and more organizations are exposed to spatial data from such sources as remote sensing, geographical information systems (GIS), astronomy, computer cartography, environmental assessment and planning, bioinformatics, etc. Recently, density based clustering methods, such as DENCLUE, DBSCAN, OPTICS, have been published and reco...

Forecasting of underground pressure for working surface (UPWS) is very important in mining technology industry for safety production. These factors (roof lithologic, mining height of coal seam, geological structure, etc.) directly affect the difficulty of forecasting trends in this field. The original Grey Model is not hard to understand and very simple to calculate, with satisfactory accuracy,...

LetG be a group. ThenG is cyclic if there exists some g ∈ G such thatG = 〈g〉 := {g : m ∈ Z}. For every positive integer n, Z/〈n〉 (the additive group of integers modulo n) is the unique cyclic group on n elements, and Z is the unique infinite cyclic group (up to isomorphism). The cyclic groups play a nontrivial role in abelian group theory. For instance, The Fundamental Theorem of Finitely Gener...