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Hierarchical data
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Part 1 of ebook "Machine learning in medicine - A complete overview" provides readers with contents including: Chapter 1 - Hierarchical clustering and K-means clustering to identify subgroups in surveys; Chapter 2 - Density-based clustering to identify outlier groups in otherwise homogeneous data; Chapter 3 - Two step clustering to identify subgroups and predict subgroup memberships in individual future patients; Chapter 4 - Nearest neighbors for classifying new medicines; Chapter 5 - Predicting high-risk-bin memberships; Chapter 6 - Predicting outlier memberships;...
304p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Principles of data mining (Third edition)" provides readers with contents including: Chapter 17 - Association rule mining II; Chapter 18 - Association rule mining III, frequent pattern trees; Chapter 19 - Clustering; Chapter 20 - Text mining; Chapter 21 - Classifying streaming data; Chapter 22 - Classifying streaming data II, time-dependent data;...
267p
daonhiennhien
03-07-2024
1
1
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Supply chain management in the food industry: A comprehensive hierarchical decision-making structure
The purpose of our research is to study the existing problems in the food supply chain management and to propose a decision-making algorithm for efficient and competitive business development. The study and generalization of theoretical studies in the field of food supply chain management allowed us to identify and formulate the specifics of this industry with the help of the following research methods: selection of logistics intermediaries, forecasting (indicators, flows, etc.), arrangement of nomenclature groups, optimization under risk conditions, statistical methods in data processing.
10p
longtimenosee10
26-04-2024
4
1
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This study is to determine the influence of Growth Need Strength [GNS] between overall life satisfaction and job satisfaction among SRN’s. Data were collected through survey using questionnaire. This study employed stratified random sampling involving a total of 390 nurses at selected general hospitals. The finding of the study contributes in the specific area of literature, theory and also in research design.
6p
longtimenosee09
08-04-2024
7
2
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Ebook The families and genera of vascular plants - Volume XIII: Flowering plants, monocots (Poaceae)
Ebook "The families and genera of vascular plants - Volume XIII: Flowering plants, monocots (Poaceae)" is the outcome of a modern phylogenetic analysis of the grass family based on multiple sources of data, in particular molecular systematic studies resulting from a concerted effort by researchers worldwide, including the author. In the classification given here grasses are subdivided into 12 subfamilies with 29 tribes and over 700 genera. The keys and descriptions for the taxa above the rank of genus are hierarchical, i.e.
413p
manmanthanhla0201
26-02-2024
3
1
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Lecture "Applied data science: Clustering" includes content: Exemplary technique - K-means clustering; Exemplary technique - Hierarchical clustering; Practical issues in clustering; Case study;... We invite you to consult!
21p
kimphuong1144
04-12-2023
7
3
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Part 2 book "A guide to sample size for animal-based studies" includes content: Prediction intervals, tolerance intervals, reference intervals, sample size and hypothesis testing, a bestiary of effect sizes, comparing two groups - continuous outcomes, comparing two groups - proportions, time‐to‐event (survival) data; comparing multiple factors; hierarchical or nested data; ordinal data; dose‐response studies.
154p
muasambanhan01
11-12-2023
7
2
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Ebook "Quantitative data analysis: A companion for accounting and information systems research" offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention.
170p
loivantrinh
29-10-2023
7
4
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Ebook "Symbolic data analysis and the SODAS software" includes content: Improved generation of symbolic objects from relational databases, exporting symbolic objects to databases, a statistical metadata model for symbolic objects, editing symbolic data, the normal symbolic form, unsupervised divisive classification, hierarchical and pyramidal clustering, clustering methods in symbolic data analysis, visualizing symbolic data by kohonen maps
478p
haojiubujain07
20-09-2023
3
3
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Bài giảng Khai phá dữ liệu (Data mining): Clustering, chương này trình bày những nội dung về: giới thiệu Clustering; phân loại; thuật toán Kmeans; hierarchical clustering; density-based clustering; bài tập;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
70p
diepkhinhchau
18-09-2023
12
6
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Appendix D - Network model, cover the network and hierarchical data models. Both these data models predate the relational model, and provide a level of abstraction that is lower than the relational model. They abstract away some, but not all, details of the actual data structures used to store data on disks. These models are only used in a few legacy applications.
90p
haojiubujain04
27-07-2023
6
4
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Appendix E - Hierarchical model. This chapter presents the following content: Basic concepts, tree-structure diagrams, data-retrieval facility, update facility, virtual records, mapping of hierarchies to files, the IMS database system.
60p
haojiubujain04
27-07-2023
7
4
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Continued part 1, part 2 of ebook "Handbook of Graph drawing and visualization" presents the following content: hierarchical drawing algorithms; three-dimensional drawings; labeling algorithms; graph markup language (GraphML); the open graph drawing framework (OGDF); GDtoolkit; PIGALE; biological networks; computer security; graph drawing for data analytics; graph drawing and cartography; graph drawing in education; computer networks; social networks;...
444p
dieptieuung
14-07-2023
6
4
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Conduct a cluster analysis of inpatient portal (IPP) users from an academic medical center to improve understanding of who uses these portals and how. Methods: We used 18 months of data from audit log files, which recorded IPP user actions, of 2815 patient admissions. A hierarchical clustering algorithm was executed to group patient admissions on the basis of proportion of use for each of 10 IPP features. Post-hoc analyses were conducted to further understand IPP use.
9p
visteverogers
24-06-2023
3
2
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Ebook Fundamentals of Database Systems (Third edition): Part 2 presents the following content: Part 4: database design theory and methodology; part 5: system implementation techniques; part 6: advanced database concepts & emerging applications; Appendix A: Alternative diagrammatic notations; Appendix B: Parameters of disks; Appendix C: An overview of the network data model; Appendix D: An overview of the hierarchical data model.
454p
haojiubujain01
06-06-2023
10
4
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This paper compares the accuracy of predicting suicide from Social Determinants of Health (SDoH) or history of illness. In predicting suicide or intentional self-harm, SDoH V-codes add negligible information beyond what is already available in medical diagnosis codes.
8p
vigamora
25-05-2023
4
2
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This research explores the concept of employee engagement and how employee engagement can be strengthened by offering monetary and non-monetary rewards to employees. The objective of this research was to assess the relationship between employee engagement and high firm performance. For testing hypothesis data were collected through questionnaires from 250 respondents. Hierarchical linear regression was used to estimate the effect of rewards on firm performance mediated through employee engagement.
11p
nhungnth_hn
27-04-2023
17
4
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The aim of the present study was to examine the diversity for heat tolerance in a set of 105 accessions using some key morphophysiological attributes. The data was standardized by calculating percent change over control, and used for phonetic analysis and construction of dendograms based on distance matrix (all primary data is given as supplementary material listed in statistical analysis section of Materials and Methods).
18p
lyhuyenthu
31-01-2023
2
1
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There is a paucity of information on the interrelationship between WASH and child undernutrition (stunting and wasting). This study aimed to assess the association between WASH and undernutrition among under-five-year-old children in Ethiopia.
20p
viferrari
29-10-2022
4
2
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Lecture Data mining: Lesson 1. The main topics covered in this chapter include: data warehouses and OLAP (On Line Analytical Processing); association rules mining; clustering - hierarchical and partition approaches; classification - decision trees and bayesian classifiers; sequential pattern mining;... Please refer to the content of document.
38p
tieuvulinhhoa
22-09-2022
12
4
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