Decision Support Systems: Chapter 5 - Data Management includes Data, Information, Knowledge; Data collection, problems and quality; Database Management Systems in DSS; Data warehousing; OLAP; Data Mining; Data Visualization and Multidimensionality; GIS.
Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises.
Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers.
Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others.Taking a problems-based approach full of real-world examples, the text slowly and methodically builds understanding and mastery of the fundamentals of biostatistics. It briefly covers data collection and then expands on the subjects of descriptive...
Highly experienced physicians and biologists clearly explain the basic technical knowledge needed to use AFM and demonstrate its multifarious uses in biomedicine and the life sciences. The applications range widely from morphostructural analyses of cellular structures, to the investigation of subcellular structures, to functional investigations, and reveal a powerful new way of looking at biological samples.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Trafﬁc Data Collection for Floating Car Data Enhancement in V2I Networks
Splunk is a data collection, indexing and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual and in the cloud.
Data can be defined as the quantitative or qualitative values of a variable. Data is plural of Datum which literally means to give or something given. Data is thought to be the lowest unit of information from which other measurements and analysis can be done. Data can be numbers, images, words, figures, facts or ideas. Data in itself cannot be understood and to get information from the data one must interpret it into meaningful information. There are various methods of interpreting data. Data sources are broadly classified into primary and secondary data....
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Instrument development, data collection, and characteristics of practices, staff, and measures in the Improving Quality of Care in Diabetes (iQuaD) Study
This is to be contrasted by the fact that the NII may well be the most important technology needed to facilitate a coordinated NSDI. The Mapping Science Committee (MSC) has recommended1 that the NSDI be developed to a level that would support the needs of the nation. The costs of creating and maintaining digital spatial data are high, so it is particularly important that spatial data collection not be duplicated,
Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Quality of data collection in a large HIV observational clinic database in sub-Saharan Africa: implications for clinical research and audit of care
A lack of standard datasets and evaluation metrics has prevented the ﬁeld of paraphrasing from making the kind of rapid progress enjoyed by the machine translation community over the last 15 years. We address both problems by presenting a novel data collection framework that produces highly parallel text data relatively inexpensively and on a large scale.
This chapter include objectives: To develop a basic understanding of observation research, to learn the approaches to observation research, to understand the advantages and disadvantages of observation research, to explore the types of human observation,...
In this chapter, students will be able to: Understand the nature of experiments, gain insight into requirements for proving causation, learn about the experimental setting, examine experimental validity, learn the limitations of experimentation in marketing research, compare types of experimental designs, gain insight into test marketing.
Chapter 16 - Qualitative methods of data collection. After reading this chapter, you should be able to: Select effective and appropriate data observation strategies; document data as evidence in complete and detailed notes; distinguish among the various forms of qualitative research methods; select the most appropriate qualitative research method for your research purpose or research question;...
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Standardisation of data collection in traumatic brain injury: key to the future?