Search results for " mining"

High-SETD8 inactivates p53 in neuroblastoma

2017

Image classification based on 2D feature motifs

2013

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…

Noisy Channel in Language-Pair Phenomena Identification

2014

STATBOX Concept for Simulation of Urban Phenomena

2013

Abstract An urban environment is a dynamic system which is constantly changing in terms of space and time. There are two dimensions in any urban environment – the physical dimension and the functional dimension. All of the structures of an urban environment interact and people are the intermediaries in this process. The spatial structure of cities has been studied from various perspectives by architects, urban planners, environmental scientists, economists, geographers etc. Constant monitoring that is based on remote sensing, spatial statistics, simulation etc., is needed to make on going note of transformation in the various types of land use that exist, movement of people and business env…

The vegetation of mining dumps in SW-Sardinia

2005

The vegetation of mining dumps of SW-Sardinia includes several endemic or rare species, that have been confined to such artificial habitats by a millennial mining activity. The extreme edaphic specialisation of these species reflects with unusual fidelity the heterogeneity of substrata, therefore creating a system of plant communities that largely contributes to the environmental diversity of this part of the island. The phytosociological study presented in this paper recognized eight associations, distinguished by the cluster analysis in two main groups, the first including hemicrypto-chamaephytic vegetation, the second including nanophanerophytic garigues. Six associations are belonging t…

Efficiency in the Use of Natural Non-renewable Resources and Environmental Federalism in Italy. Evidence from Regional Management of Mining and Quarr…

2013

The separation of powers and responsibilities has evolved over time in Italy given that political ideals have been pushing towards a greater decentralization for the last twenty years. Under environmental federalism issues, an interesting case of study - capable of being empirically treated - is the attribution of power to the Regional governments over the management of mining and quarrying. This process, however, -- started in the ’70s with the Presidential Decree N. 616 of 1977. By examining Regional Laws, this paper highlights how the policy makers have a misleading perception of the real value of raw mineral resources domestically extracted and that these seem closer to common goods rat…

Intrusion detection applications using knowledge discovery and data mining

2014

Application of selected supervised classification methods to bank marketing campaign

2016

Supervised classification covers a number of data mining methods based on training data. These methods have been successfully applied to solve multi-criteria complex classification problems in many domains, including economical issues. In this paper we discuss features of some supervised classification methods based on decision trees and apply them to the direct marketing campaigns data of a Portuguese banking institution. We discuss and compare the following classification methods: decision trees, bagging, boosting, and random forests. A classification problem in our approach is defined in a scenario where a bank’s clients make decisions about the activation of their deposits. The obtained…

Improvements and applications of the elements of prototype-based clustering

2018

Clustering or cluster analysis is an essential part of data mining, machine learning, and pattern recognition. The most popularly applied clustering methods are partitioning-based or prototype-based methods. Prototype-based clustering methods usually have easy implementability and good scalability. These methods, such as K-means clustering, have been used for different applications in various fields. On the other hand, prototype-based clustering methods are typically sensitive to initialization, and the selection of the number of clusters for knowledge discovery purposes is not straightforward. In the era of big data, in high-velocity, ever-growing datasets, which can also be erroneous, outl…

Rationale and design of the DARWIN-T2D (DApagliflozin Real World evIdeNce in Type 2 Diabetes): A multicenter retrospective nationwide Italian study a…

2017

Background Randomized controlled trials (RCTs) in the field of diabetes have limitations inherent to the fact that design, setting, and patient characteristics may be poorly transferrable to clinical practice. Thus, evidence from studies using routinely accumulated clinical data are increasingly valued. Aims We herein describe rationale and design of the DARWIN-T2D (DApagliflozin Real World evIdeNce in Type 2 Diabetes), a multicenter retrospective nationwide study conducted at 50 specialist outpatient clinics in Italy and promoted by the Italian Diabetes Society. Data synthesis The primary objective of the study is to describe the baseline clinical characteristics (particularly HbA1c) of pa…