Production of asparagus (Asparagus offi cinalis L.) is globally constrained by the “early decline” syndrome. The primary causal agents of early decline include Fusarium proliferatum (Matsushima) Nirenberg, F. oxysporum Wollenw. f. sp. asparagi S.I. Cohen, and F. subglutinans Wollenw. & Reinking. These pathogens together contribute to Fusarium crown and root rot (FCRR). Damage to asparagus stems...

We present a new algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We integrate a combination of these techniques into an algorithm which utilize those techniques dynamically according to the input dataset. The algorithm main features include depth first search with vertical compressed database, ...

We present ExB Medical Text Miner – a text mining pipeline for processing biomedical documents. This application employs stateof-the-art Named Entity Recognition, using linguistic features and word embeddings in a fully-connected second-order Conditional Random Field model, as well as a novel two-stage Relation Extraction module that first detects entity-level relations using a Support Vector C...

Today network security, uptime and performance of network are important and serious issues in computer network. Anomaly is deviation from normal behaviour affecting network security. Anomaly Extraction is identification of unusual flow from network, which is need of network operator. Anomaly extraction aims to automatically find the inconsistencies in large set of data observed during an anomal...

ABC-Miner is a Bayesian classification algorithm based on the Ant Colony Optimization (ACO) meta-heuristic. The algorithm learns Bayesian network Augmented Näıve-Bayes (BAN) classifiers, where the class node is the parent of all the nodes representing the input variables. However, this assumes the existence of a dependency relationship between the class variable and all the input variables, and...

Privacy has become an increasingly important issue in data mining. In this paper, we consider a scenario in which a data miner surveys a large number of customers to learn classification rules on their data, while the sensitive attributes of these customers need to be protected. Solutions have been proposed to address this problem using randomization techniques. Such solutions exhibit a tradeof...

In the 3 years to June 30, 2008, 4,633 injuries occurring underground at NSW (Australia) coal mines were reported to the insurer. Equipment was involved in 2149 of these injuries (46%). The narrative field accompanying these reports was examined to determine opportunities for controlling injury risks. The most common equipment types involved were: Continuous miner (12% of all underground injuri...