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15,067 result(s) for "Database searching"
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PostGIS in action
\"PostGIS in Action, Second Edition teaches you to solve real-world goedata problems. It first gives you a background in vector-, raster-, and topology-based GIS and then quickly moves into analyzing, viewing, and mapping data. You'll learn how to optimize queries for maximum speed, simplify geometrics for greater efficiency, and create custom functions for your own applications. You'll also learn how to apply your existing GIS knowledge to PostGIS and integrate with other GIS tools. What's Inside: An introduction to spatial databases -- geometry, geography, raster, and topology spatial types, functions, and queries -- Applying PostGIS to real-world problems -- Extending PostGIS to web and desktop applications -- Updated for PostGIS 2.x and PostgreSQL 9.x\"--Back cover.
Knowledge Discovery Process and Methods to Enhance Organizational Performance
This book explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to understand and implement. Sharing insights from international KDDM experts, it presents powerful strategies, models, and techniques relevant to the different stages of the KDDM process.
Data exploration using example-based methods
Data usually comes in a plethora of formats and dimensions, rendering the exploration and information extraction processes challenging. Thus, being able to perform exploratory analyses in the data with the intent of having an immediate glimpse on some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicate declarative languages (such as SQL) and mechanisms, and at the same time retain the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or the analyst, circumvents query languages by using examples as input. An example is a representative of the intended results, or in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind, but may not able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when the task is particularly challenging like finding duplicate items, or simply when they are exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how that different data types require different techniques, and present algorithms that are specifically designed for relational, textual, and graph data. The book presents also the challenges and the new frontiers of machine learning in online settings which recently attracted the attention of the database community. The lecture concludes with a vision for further research and applications in this area.
Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements
Background A bibliometric review of the biomedical literature could be essential in synthesizing evidence if thoroughly conducted and documented. Although very similar to review papers in nature, it slightly differs in synthesizing the data when it comes to providing a pile of evidence from different studies into a single document. This paper provides a preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO). Methods The BIBLIO was developed through two major processes: literature review and the consensus process. The BIBLIO started with a comprehensive review of publications on the conduct and reporting of bibliometric studies. The databases searched included PubMed, Scopus, Web of Sciences, and Cochrane Library. The process followed the general recommendations of the EQUATOR Network on how to develop a reporting guideline, of which one fundamental part is a consensus process. A panel of experts was invited to identify additional items and was asked to choose preferred options or suggest another item that should be included in the checklist. Finally, the checklist was completed based on the comments and responses of the panel members in four rounds. Results The BIBLIO includes 20 items as follows: title (2 items), abstract (1 item), introduction/background (2 items), methods (7 items), results (4 items), discussion (4 items). These should be described as a minimum requirements in reporting a bibliometric review. Conclusions The BIBLIO for the first time provides a preliminary guideline of its own kind. It is hoped that it could contribute to the transparent reporting of bibliometric reviews. The quality and utility of BIBILO remain to be investigated further.
Strategic searches using digital tools
Readers will get a step-by-step overview of how to make the most of their search activities so they can get the information they want and need with just a few keystrokes, swipes, or clicks.
Virtual reality relaxation for the general population: a systematic review
PurposeRelaxation has significant restorative properties and implications for public health. However, modern, busy lives leave limiting time for relaxation. Virtual reality (VR) experiences of pleasant and calming virtual environments, accessed with a head-mounted display (HMD), appear to promote relaxation. This study aimed to provide a systematic review of feasibility, acceptability, and effectiveness of studies that use VR to promote relaxation in the general population (PROSPERO 195,804).MethodsWeb of Science, PsycINFO, Embase, and MEDLINE were searched until 29th June 2020. Studies were included in the review if they used HMD technology to present virtual environments that aimed to promote or measure relaxation, or relaxation-related variables. The Effective Public Health Practice Project (EPHPP) quality assessment tool was used to assess methodological quality of studies.Results6403 articles were identified through database searching. Nineteen studies published between 2007 and 2020, with 1278 participants, were included in the review. Of these, thirteen were controlled studies. Studies predominantly used natural audio-visual stimuli to promote relaxation. Findings indicate feasibility, acceptability, and short-term effectiveness of VR to increase relaxation and reduce stress. Six studies received an EPHPP rating of ‘strong’, seven were ‘moderate’, and six were ‘weak’.ConclusionsVR may be a useful tool to promote relaxation in the general population, especially during the COVID-19 pandemic, when stress is increasing worldwide. However, methodological limitations, such as limited randomised controlled trials and longer-term evidence, mean that these conclusions should be drawn with caution. More robust studies are needed to support this promising area of VR relaxation.
Numerical algorithms for personalized search in self-organizing information networks
\"This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks.\" The book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding web-scale data.--[book cover]
Systematic review search strategies are poorly reported and not reproducible: a cross-sectional metaresearch study
To determine the reproducibility of biomedical systematic review search strategies. A cross-sectional reproducibility study was conducted on a random sample of 100 systematic reviews indexed in MEDLINE in November 2021. The primary outcome measure is the percentage of systematic reviews for which all database searches can be reproduced, operationalized as fulfilling six key Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension (PRISMA-S) reporting guideline items and having all database searches reproduced within 10% of the number of original results. Key reporting guideline items included database name, multi-database searching, full search strategies, limits and restrictions, date(s) of searches, and total records. The 100 systematic review articles contained 453 database searches. Only 22 (4.9%) database searches reported all six PRISMA-S items. Forty-seven (10.4%) database searches could be reproduced within 10% of the number of results from the original search; six searches differed by more than 1,000% between the originally reported number of results and the reproduction. Only one systematic review article provided the necessary search details to be fully reproducible. Systematic review search reporting is poor. To correct this will require a multifaceted response from authors, peer reviewers, journal editors, and database providers.
Google search secrets
Google can be an incredibly powerful tool for research, but the top-of-the-page results are seldom the most beneficial to library users and students, and many of the search engine's most useful features are hidden behind its famously simple interface.