1,722,470 research outputs found
RESEARCH ISSUES CONCERNING ALGORITHMS USED FOR OPTIMIZING THE DATA MINING PROCESS
Full text linkIn this paper, we depict some of the most widely used data mining algorithms that have an overwhelming utility and influence in the research community. A data mining algorithm can be regarded as a tool that creates a data mining model. After analyzing a set of data, an algorithm searches for specific trends and patterns, then defines the parameters of the mining model based on the results of this analysis. The above defined parameters play a significant role in identifying and extracting actionable patterns and detailed statistics. The most important algorithms within this research refer to topics like clustering, classification, association analysis, statistical learning, link mining. In the following, after a brief description of each algorithm, we analyze its application potential and research issues concerning the optimization of the data mining process. After the presentation of the data mining algorithms, we will depict the most important data mining algorithms included in Microsoft and Oracle software products, useful suggestions and criteria in choosing the most recommended algorithm for solving a mentioned task, advantages offered by these software products.data mining optimization, data mining algorithms, software solutions
Wpływ praktyk ergonomicznych na powstrzymanie odpływu personelu sprzątającego oraz wydajność pracowników hoteli podczas pandemii COVID-19 w Indiach
No full textThis article explores the current status of housekeeping-employee retention and efficiency in hotels particularly during COVID-19 in India, then discusses the implications of ergonomic practices on these. Ergonomic practice research in hotel housekeeping has been given enlarged scholarly attention, yet similar research in the Indian context is almost non-existent. Housekeeping work involves considerable physical effort that can lead to discomfort or even injury. This research involved 210 housekeeping employees from five-star hotels through an online survey. The data were interpreted using the partial least square (PLS) software SmartPLS 2.0. The constructs used in the study were working conditions, risk assessment and control, pandemic response plan, employee efficiency and employee retention. Working conditions were found to have a significant positive relationship with employee retention, whereas, risk assessment and control was found to have a positive relationship with employee retention and employee efficiency. Also, the pandemic response plan was found to have a positive relationship with employee efficiency. The pandemic response plan was not found to have a significant positive relationship with employee retention, while working conditions were not found to have a significant positive relationship with employee efficiency either.W artykule przedstawiono poziom utrzymywania zatrudnienia personelu sprzątającego oraz jego wydajność w hotelach w Indiach podczas pandemii COVID-19, a także omówiono wpływ praktyk ergonomicznych na te zagadnienia. Praktykom ergonomicznym stosowanym wobec hotelowego personelu sprzątającego poświęcono już dużo uwagi, jednakże takie badania w kontekście Indii prawie nie istnieją. Sprzątanie w hotelu wymaga znacznego wysiłku fizycznego, który może prowadzić do dyskomfortu, a nawet nadwyrężenia zdrowia pracownika. Prezentowane badanie, którym objęto 210 pracowników sprzątających, zatrudnionych w pięciogwiazdkowych hotelach, zostało przeprowadzone metodą ankiety internetowej. Dane zinterpretowano za pomocą oprogramowania SmartPLS 2.0. Konstruktami przyjętymi w badaniu były: warunki pracy, ocena i kontrola ryzyka, plan reagowania na pandemię, wydajność pracowników oraz poziom ich zatrzymywania na stanowiskach pracy. Stwierdzono, że warunki pracy miały bardzo silny związek z utrzymywaniem i wydajnością pracowników. Plan reagowania na pandemię również miał duży, pozytywny wpływ na wydajność ich pracy w przeciwieństwie do poziomu pozostawania na stanowiskach pracy. Warunki pracy nie wpływały znacząco na wydajność zatrudnionych
Parallel Iterative Solvers and Preconditioners Using Approximate Hierarchical Methods (Extended Abstract)
No full text) Ananth Grama, Vipin Kumar, Ahmed Sameh Department of Computer Science, University of Minnesota Minneapolis, MN 55455 {ananth, kumar, sameh}@cs.umn.edu Abstract In this paper, we report results of the performance, convergence, and accuracy of a parallel GMRES solver for Boundary Element Methods. The solver uses a hierarchical approximate matrix-vector product based on a hybrid Barnes-Hut / Fast Multipole Method. We study the impact of various accuracy parameters on the convergence and show that with minimal loss in accuracy, our solver yields significant speedups. We demonstrate the excellent parallel efficiency and scalability of our solver. The combined speedups from approximation and parallelism represent an improvement of several orders in solution time. We also develop fast and paralellizable preconditioners for this problem. We report on the performance of an inner-outer scheme and a preconditioner based on truncated Green's function. Experimental results on a 256 processor ..
Changes in sterols during floral development in Hordeum vulgare L., Lolium temulentum L. and Xanthium strumarium L. / by Vipin Kumar Garg
No full textTypescript (photocopy)xvi, 287 leaves, [5] leaves of plates : ill. ; 30 cm.Thesis (Ph.D.) -- University of Adelaide, Dept. of Plant Physiology, 198
Prevalence of PCOS Among Adolescent Girls Attending Secondary Care Hospital in Portblair, Andaman & Nicobar Islands
No full textKasturi.R.Nath, Vipin Kumar Nair, Jossy Joh
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