Ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli et al have applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant Miner. In this paper, we present a system that combines both the proposed Improved Quickreduct algorithm for data preprocessing and ant ...

I:ZI Miner (sewebar.vse.cz/izi-miner) is an association rule mining system with a user interface resembling a search engine. It brings to the web the notion of interactive pattern mining introduced by the MIME framework at ECML’11 and KDD’11. In comparison with MIME, I:ZI Miner discovers multi-valued attributes, supports the full range of logical connectives and 19 interest measures. A relevanc...

In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as ‘Reduced MEPAR-miner Algorithm’. In the method being improved rough sets are used in the preprocessing stage in order to reduce the dimensionality of the feature space and improved MEPAR-miner algorithms are then used to extrac...

Coal mining is an industry that associated with hard physical labor and harsh mental conditions. Modern artistic projects involving portraits of miners evolve as artists' responses to political economic changes in the industry, which currently decline, place a major focus on miner communities, rather than individual miners. This article presents overview relevant selected projects, supplements ...

Discovering frequent trends in time series is a critical task data mining. Recently, order-preserving matching was proposed to find all occurrences of pattern series, where the relative order (regarded as trend) and an occurrence sub-time whose coincides with pattern. Inspired by matching, existing (OPP) mining algorithm employs calculate support, which leads low efficiency. To address this def...

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...

High utility itemset mining is a challenging task in frequent pattern mining, which has wide applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation and performs a depth-first search to discover patterns and calculate their utility without performing costly database scans. Although, this approach is effective, mining high-utility itemsets remains computati...

OBJECTIVE To investigate HIV/sexually transmitted infections (STIs) among female sex workers (FSWs) and clients in a mining region of China. GOAL To estimate HIV/STI prevalence and to identify HIV risk factors among FSWs and miner clients. STUDY DESIGN A cross-sectional study of 96 FSWs and 339 miner clients. RESULTS In FSWs, prevalence of HIV was 8.3%, herpes simplex virus-2 70.8%, syphi...

[Abridged] The study of disc kinematics has recently opened up as a promising method to detect unseen planets. However, systematic, statistically meaningful analysis such an approach remains missing. aim this work is devise automated, robust technique identify kinematical perturbations induced by the presence planets in gas disc, and accurately infer their location. For purpose, we produce hydr...