Multistage feature selection methods for data classification

In data analysis process, a good decision can be made with the assistance of several sub-processes and methods. The most common processes are feature selection and classification processes. Various methods and processes have been proposed to solve many issues such as low classification accuracy, and long processing time faced by the decision-makers. The analysis process becomes more complicated especially when dealing with complex datasets that consist of large and problematic datasets. One of the solutions that can be used is by employing an effective feature selection method to reduce the data processing time, decrease the used memory space, and increase the accuracy of decisions. However, not all the existing methods are capable of dealing with these issues. The aim of this research was to assist the classifier in giving a better performance when dealing with problematic datasets by generating optimised attribute set. The proposed method comprised two stages of feature selection processes, that employed correlation-based feature selection method using a best first search algorithm (CFS-BFS) and as well as a soft set and rough set parameter selection method (SSRS). CFS-BFS is used to eliminate uncorrelated attributes in a dataset meanwhile SSRS was utilized to manage any problematic values such as uncertainty in a dataset. Several bench-marking feature selection methods such as classifier subset evaluation (CSE) and principle component analysis (PCA) and different classifiers such as support vector machine (SVM) and neural network (NN) were used to validate the obtained results. ANOVA and T-test were also conducted to verify the obtained results. The obtained averages for two experimentalworks have proven that the proposed method equally matched the performance of other benchmarking methods in terms of assisting the classifier in achieving high classification performance for complex datasets. The obtained average for another experimental work has shown that the proposed work has outperformed the other benchmarking methods. In conclusion, the proposed method is significant to be used as an alternative feature selection method and able to assist the classifiers in achieving better accuracy in the classification process especially when dealing with problematic datasets

Analysis on hybrid dominance-based rough set parameterization using private financial initiative unitary charges data

This paper evaluates the capability of the hybrid parameter reduction approach in handling private financial initiative (PFI) unitary charges data to increase the classification performance. The objective of this study is to analyse the performance of the proposed hybrid parameter reduction approach in assisting the neural network classifier to classify complex data sets that might contain uncertain and inconsistent problems. The proposed hybrid parameter reduction approach consists of several methods that will be executed during the data analysis process. Slicing technique and dominance-based rough set approach (DRSA) are the two techniques that play important roles in the proposed parameter reduction process. In order, to analyse the performance of the proposed work, the PFI data that covers all regions in Malaysia is applied in the experimental works. Besides, several standard data sets have also been used to validate the obtained results. The results reveal that the hybrid approach has successfully assisted the classifier in the classification process

Supply Chain

Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications

International Conference on Mathematical Analysis and Applications in Science and Engineering – Book of Extended Abstracts

The present volume on Mathematical Analysis and Applications in Science and Engineering - Book of Extended Abstracts of the ICMASC’2022 collects the extended abstracts of the talks presented at the International Conference on Mathematical Analysis and Applications in Science and Engineering – ICMA2SC'22 that took place at the beautiful city of Porto, Portugal, in June 27th-June 29th 2022 (3 days). Its aim was to bring together researchers in every discipline of applied mathematics, science, engineering, industry, and technology, to discuss the development of new mathematical models, theories, and applications that contribute to the advancement of scientific knowledge and practice. Authors proposed research in topics including partial and ordinary differential equations, integer and fractional order equations, linear algebra, numerical analysis, operations research, discrete mathematics, optimization, control, probability, computational mathematics, amongst others. The conference was designed to maximize the involvement of all participants and will present the state-of- the-art research and the latest achievements.info:eu-repo/semantics/publishedVersio

Irrigation and river basin management: options for governance and institutions

River basin development / Governance / Institutions / Organizations / Financing / Irrigation management / France / USA / Mexico / South Africa / Turkey / Vietnam / California / Central Valley / Lerma Chapala / Olifants / Gediz / Dong Nai

Anniversary Essays - Forty Years of Geography at Maynooth. Volume 1 & 2

The following collection of ‘Anniversar y Essays’ is an odd mix. But yet, looking through it, I find its oddness perfectly appropriate, because isn’t geography – the discipline and the subject matter – precisely that? Space is, as many of these essays explicit ly or implicitly highlight, a crazy mixture of thrown together objects, forces and ideas. And it’s this fact of geography that gives me heart when I flick through the following essays and think of them as representing what scholars and researchers and teachers in Maynooth’s Department of Geography have done over the last four decades. Sure, we’ve done more than what this collection captures, and there’s no doubt we’ll continue to do amazing things, but at this juncture, in our 40 th year, I believe this collection is a wonderful transect through the department’s development and a unique testimony to its intellectual vibrancy. All along the transect, we are exposed to the wide variety of research questions addressed by geographers in Maynooth; questions about colonialism, health, climate, memory, place, migration, water, religion, identity, inward investment, and technology, and much more besides. An odd mix, yes, but a productive one, too. We also get to see developments and changes in the de partment as a place. In the first few chapters, for example, we see signs of the department’s early life as a centre for the study of Ireland’s historical geography, as well as a burgeoning location for the study of climate, medical and economic geography. Then, as the collection progresses, we discern a whole set of new issues tackled, including urban and technological change, adaptation to climate change, identity, planni ng, embodiment, and the politics and economics of Ireland’s changing circumstances. I think it fair to say that the collectio n also offers a unique opportunity to examine the breadth and richness of our discipline. The essays reflect many of the various ways of thinking about and doing geography. We see, for instance, that geography is about physical and social processes, about climate and class, say; and that geography is about using a range of methods, from remote sensing to ethnography. We also see examples of how scholars in the department ha ve engaged theoretically with the discipline by drawing from and seeking to contribute to what we know about physical geography, climate change studies, feminist theory, Marxism, post-structuralism, and the world of policy-makers. From their base in Maynooth, geographers in the Department have helped to develop broader understanding of key issues in the discipline, often by making significant key contributions to geographical knowledge. Long may that continue. The collection lying before you truly is a unique heritage document, which demonstrates what scholarship in one Irish academic department can achieve over a forty-year span. In this sense it has value. But I believe the collection has wider resonance. For students of the history and philosophy of science in general, and geography in particular, the collection is a landmark contribution. There is plenty of scope to imagine how it might be used to learn about the Irish geography community and how it has grown and changed in the last forty years. I also hope the collection might be used by under- and post-graduate students as an entry point into learning to understand this odd discipline, but also this fantastic department. For example, it is striking how, just as the last five years or so have seen huge changes in the department, we also see in the latter chapters of the collection a wide range of new patterns take shape, such as the internationalization of the department’s research foci and publishing venues; the expression of engaged scholarship regarding contemporary issues in Ireland and beyond; new publishing strategies, including the use of blogs; and new strengths in established areas of the department’s research activities such as climate change. There have been important developments in academic geography in the last few years, not just in Ireland; this sort of coll ection should help piece together explanations for what has happened and why. In sum, then, the collection effectively captures geography’s odd mix and some of Maynooth’s role in its creation. It is at once a celebration of Geography in Maynooth and an opportunity to glimpse the department’s richness, its diversity, and breadth. I hope you agree

Between a Promise and a Trench: Citizenship, Vulnerability, and Climate Change in Guyana

Between a Promise and a Trench examines how science is constituted as a strategic practice and site through which citizens make claims about racial democracy in Guyana. It shows how government policymaking around climate adaptation--which drew upon the recommendations of outside actors, including the Intergovernmental Panel on Climate Change (IPCC), the United Nations (UN), and various NGOs and international scientific networks-- profoundly disrupted the country's delicate racial-ethnic balance. A contribution to the burgeoning anthropology on the social and political impact of climate change, the dissertation also speaks to current debates over race and citizenship, the complex relationship between expertise and democracy, and the competing post-colonial claims of Indo-, Afro-, and Amerindian Guyanese to land and self-determination. The dissertation is based on seventeen months of fieldwork and archival research conducted between, 2009-11 in coastal Guyana. It brings together three conflicting perspectives: of engineers, who drew upon datasets and models about flooding and construction of canals around IPCC and UN climate data; the state officials, who sought to reduce vulnerability to flood hazards through land evictions; and of Indo-, Afro-, and Amerindian Guyanese farmers and squatters who were evicted as a result of post-2005 engineering projects. I use the concept "politics of vulnerability" to describe how states assume that citizens experience vulnerability to climate change based on their "ethnic-political status," thereby making the extension of democratic rights contingent on citizens providing cultural knowledge to the state to manage climate change. The dissertation attends to the consequences of the canals, including collapsed housing, failed civic science programs, and erratic water allocation. In response to these failures, citizens charge that state engineering repositions environmental hazards around existing social welfare inequities between racial-ethnic communities. During my time in Guyana, I tracked these responses at four distinct sites. 1) I observed engineers at work in the field produce and interpret "datasets" and "models" about flooding and construction of canals around IPCC and UN climate data. 2) I gathered residents' "unofficial" stories about vulnerability to floods through interviews and participant observations of everyday life in two coastal villages, Sophia (a racially mixed urban squatter community) and Mahaica (a predominately Indo-Guyanese cash crop community), where people were evicted due to the post-2005 engineering projects. 3) I analyzed "official" data generated through civic science projects and fieldwork in Mahaica and Sophia by engineers, state officials, and scientists that addressed vulnerability to flood hazards and its relationship to land evictions and property rights. 4) I conducted archival research in Guyana's National Archives on documents relating to colonial-era canals (1920s-60s) that inform the current projects. Although there is a growing ethnographic literature on climate change, a critical anthropology of vulnerability has yet to emerge. This dissertation offers two key interventions in this emerging field. First, I argue that in applied contexts, the validity of climate science is structured by the ways in which governments hinge climate adaptation projects to address varying national racial-ethnic populations. Second, I argue that governments cultivate institutions of social welfare that encourage "racial-ethnic" niche markets to manage vulnerability to climate change to soothe citizens' fears of state failure and environmental insecurity in the everyday. In such contexts, experiences of vulnerability become privatized, informing a consumer-oriented practice of racial democracy

Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute