5,976 research outputs found
Skyline computation over multiple points and dimensions
No full textSkyline is a technique in database management system for multi-criterion decision making based on dominance analysis. Skyline overcomes the limitation of relational databases by handling the criteria that are inversely proportional to each other. Traditional skyline operation is conceptualized over two dimensions only, and it finds out single interesting point. In this paper we extend the capability of skyline to work with multiple dimensions and to search the multiple interesting points from the given search space. The work furthermore ranks skyline points with respect to the multiple interesting points. However, we restrict the computational complexity within a fixed upper bound. Skyline is commonly applied on tourism industries, and we consider two different case studies from this domain and execute the proposed methodology over the real-life data. Comparative study is given based on different parameters, and statistical analysis is also performed to illustrate the efficacy of the proposed method over the existing methods
Materialized view construction using linearizable nonlinear regression
No full textQuery processing at runtime is an important issue for data-centric applications. A faster query execution is highly required which means searching and returning the appropriate data of database. Different techniques have been proposed over the time and materialized view construction is one of them. The efficiency of a materialized view (MV) is measured based on hit ratio, which indicates the ratio of number of successful search to total numbers of accesses. Literature survey shows that few research works has been carried out to analyze the relationship between the attributes based on nonlinear equations for materialized view creation. However, as nonlinear regression is slower, in this research work they are mapped into linear equations to keep the benefit of both the approaches. This approach is applied to recently executed query set to analyze the attribute affinity and then the materialized view is formed based on the result of attribute affinity
ROLAP based data warehouse schema to XML schema conversion
Get PDFData Warehouse is one of the powerful tools for analytical processing. XML on the other hand is widely used to handle data in web environment. XML to data warehouse integration is a subject of interest for the business organization to use the semi-structured XML for analytical processing. However, in this research work we approached the problem in reverse direction. Here we generate equivalent XML schema from the existing data warehouse schema for an organization which does not has the XML platform to manage the web data. The proposed reverse engineering framework uses one of the existing methodologies of converting the XML schema to data warehouse schema. However, we have applied it in a reverse approach. Moreover we have established a formalism to prove the soundness and correctness of both the conversion mechanisms
Hyper-lattice algebraic model for data warehousing
No full textThis book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice. They establish how Hyper-lattice supports dynamic insertion of elements in a partial order set with a partial hierarchy between the set members. The authors present the characteristics and the different properties, showing how propositions and lemmas formalize Hyper-lattice as a new algebraic structure
Sen-Lab-LMS/Senescence_nuclear_features: Publication_version_2.0
No full text<p>Author checklist.</p>
sj-docx-1-mcr-10.1177_10775587221111105 – Supplemental material for COVID-19 Hospitalization Trends in Rural Versus Urban Areas in the United States
No full textSupplemental material, sj-docx-1-mcr-10.1177_10775587221111105 for COVID-19 Hospitalization Trends in Rural Versus Urban Areas in the United States by Yi Zhu, Caitlin Carroll, Khoa Vu, Soumya Sen, Archelle Georgiou and Pinar Karaca-Mandic in Medical Care Research and Review</p
The Contributions of Professor Amartya Sen in the Field of Human Rights
Get PDFThis paper analyses the work of the Nobel Prize winning economist Professor Amartya Sen from the perspective of human rights. It assesses the ways in which Sen's research agenda has deepened and expanded human rights discourse in the disciplines of ethics and economics, and examines how his work has promoted cross-fertilisation and integration on this subject across traditional disciplinary divides. The paper suggests that Sen's development of a 'scholarly bridge' between human rights and economics is an important and innovative contribution that has methodological as well as substantive importance and that provides a prototype and stimuli for future research. It also establishes that the idea of fundamental freedoms and human rights is itself an important gateway into understanding the nature, scope and significance of Sen's research. The paper concludes with a brief assessment of the challenges to be addressed in taking Sen's contributions in the field of human rights forward.Amartya Sen, human rights, poverty, freedom, obligation, capability approach, meta-rights, entitlements, opportunity freedom, liberty-rights
SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer
Get PDFAppropriate forecasting of sales can lead to significant revenue gains for any organization, as it allows them to plan their funding, arrange infrastructure, manage the supply chain, and anticipate profits accordingly. However, sales forecasting depends on various factors, such as product quality, market trends, economic conditions, competition, and customer behavior, and it has become even more challenging with the rise of online retailing. In today’s era, especially for online retailing, customer feedback plays a vital role in assessing a product’s quality, as users can express their level of satisfaction through it. Customers can share their opinions using numeric values, such as ratings, and/or through text, such as reviews. Additionally, they can express their views by voting on other reviews they find most helpful, based on their own level of satisfaction. In this research, we have modified the TSMixer model for sales forecasting by amalgamating customer satisfaction levels regarding a specific product. This enhancement allows the model to account for how customer sentiment directly influences sales performance, thereby improving the accuracy of sales forecasting. Experimental results on various types of Amazon data show that, depending on the dataset and the specific error detection techniques used, the proposed model delivers a reduction in error ranging from 65% to 99% compared to established models
Inequalities, Agency, and Well-being: Conceptual Linkages and Measurement Challenges in Development
Get PDFdevelopment, inequality, gender, well-being, agency, capability, distribution, Sen
Quantifying Political Leaning from Tweets, Retweets, and Retweeters
No full textThe widespread use of online social networks (OSNs) to disseminate information and exchange opinions, by the general
public, news media and political actors alike, has enabled new avenues of research in computational political science. In this paper, we
study the problem of quantifying and inferring the political leaning of Twitter users. We formulate political leaning inference as a convex
optimization problem that incorporates two ideas: (a) users are consistent in their actions of tweeting and retweeting about political
issues, and (b) similar users tend to be retweeted by similar audience. Then for evaluation and a numerical study, we apply our
inference technique to 119 million election-related tweets collected in seven months during the 2012 U.S. presidential election
campaign. Our technique achieves 94% accuracy and high rank correlation as compared with manually created labels. By studying the
political leaning of 1,000 frequently retweeted sources, 230,000 ordinary users who retweeted them, and the hashtags used by these
sources, our numerical study sheds light on the political demographics of the Twitter population, and the temporal dynamics of political
polarization as events unfold.Wong, Felix MFW; Tan, Chee Wei; Sen, Soumya; Chiang, Mung. (2016). Quantifying Political Leaning from Tweets, Retweets, and Retweeters. Retrieved from the University Digital Conservancy, 10.1109/TKDE.2016.2553667
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