Information mining refers to the process of extracting previously unknown, comprehensible, and actionable information from any source including transactions, documents, e-mail, web pages, and other, and using it to make crucial business decisions. The two most pervasive types of information are structured data and text, therefore information mining includes data mining and text mining.The IBM I...

Multivariate temporal data are hybrid data. Numeric and categorical data type could be consisted of. Most past researches cannot be operated directly on the multivariate temporal data with both types. Additionally, no useful and readable rules are provided in their methods for advanced classification analysis. We proposed Progressive Temporal Class Rule Miner (PTCR-Miner) algorithm to achieve t...

In this paper, we propose an algorithm called PITP-Miner that utilizes a projection based approach to mine frequent inter-transaction patterns efficiently. The algorithm only searches for local frequent items in a projected database that stores potential local inter-transaction items and partitions the database into a set of smaller databases recursively. In addition, two pruning strategies are...

In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day malware without any a priori knowledge about them. The distinguishing features are extracted using the structural information standardized by the Microsoft Windows operating system for executables, DLLs and object files. We f...

Patterns upon the data of many real applications are affected by changes in these data. We employ PATTERN-MINER tool to detect changes of clusterings extracted from dynamic data and thus, to provide insight on the dataset and to support strategic decisions. PATTERN-MINER, is an integrated environment for pattern (data mining model) management and mining that deals with the whole lifecycle of pa...

Specification Mining describes the process of creating a specification from a (probably unknown) program using sample executions. Most of the current specification miners are deterministic. This thesis aims to create a probabilistic specification miner. Therefor, a specification miner with three different probabililistic approaches has been implemented and added to the LearnLib-Framework. The i...

The asparagus miner is an obligatory feeder on asparagus and a putative vector for pathogenic fungi implicated in the early decline of asparagus fields. To date, the distribution of the asparagus miner over space and time is poorly understood. Our study evaluated the spatial and temporal pattern of adult asparagus miners in commercial asparagus fields in Michigan in 2011 and 2012. We sampled ad...

High-throughput profiling has generated massive amounts of data across basic, clinical and translational research fields. However, open source comprehensive web tools for analysing data obtained from different platforms and technologies are still lacking. To fill this gap and the unmet computational needs of ongoing research projects, we developed O-miner, a rapid, comprehensive, efficient web ...