A Granular Approach to Analyze Spatiotemporal Data

A Study of Representation of Spatiotemporal Data with Information Granules

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.1382 ◽

2013 ◽

Vol 380-384 ◽

pp. 1382-1385

Author(s):

Ming Li Song ◽

Yong Bin Wang

Keyword(s):

Data Analysis ◽

Everyday Life ◽

Synthetic Data ◽

Spatiotemporal Data ◽

Information Granules

Spatiotemporal data are widely visible in everyday life. This paper proposes an algorithm to represent them in a granular wayinformation granules. Information granules can be regarded as a collection of conceptual landmarks using which people can view the data and describe them in a semantic way. The key objective of this paper is to introduce a new granular way of data analysis through their granulation. Several experiments are done with synthetic data and the results show a clear way how our algorithm performs.

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Queue Analysis at Yogyakarta Tugu Station

Jurnal Perkeretaapian Indonesia ◽

10.37367/jpi.v1i2.37 ◽

2017 ◽

Vol 1 (2) ◽

pp. 105-115

Author(s):

Handoko Handoko ◽

Septiana Widi Astuti

Keyword(s):

Data Analysis ◽

Action Research ◽

Data Collection ◽

Everyday Life ◽

Sampling Technique ◽

Queuing System ◽

Railway Station ◽

Analysis Techniques ◽

Common Situation

Queue is a common situation that is common in everyday life where consumers wait in front of the counter to get a turn of service or service facilities. The study aims to determine the performance of the queuing system at the train ticket counter at Yogyakarta Tugu Station. This research is an action research. The population in this study are all customers who come to Yogyakarta Tugu Railway Station to purchase train tickets. Sampling using accidental sampling technique. Data collection techniques used are the method of observation and documentation. Data analysis techniques used queuing formulas for Model B: M / M / S. The results showed that the performance of the queuing system at the train ticket counter at Yogyakarta Tugu Station was not optimal.

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Distinguishing different modes of growth using single-cell data

eLife ◽

10.7554/elife.72565 ◽

2021 ◽

Vol 10 ◽

Author(s):

Prathitha Kar ◽

Sriram Tiruvadi-Krishnan ◽

Jaana Männik ◽

Jaan Männik ◽

Ariel Amir

Keyword(s):

Data Analysis ◽

Single Cell ◽

Statistical Methods ◽

Synthetic Data ◽

Cellular Growth ◽

Biological Mechanisms ◽

E Coli ◽

High Throughput Data ◽

Consistent Method ◽

Cell Data

Collection of high-throughput data has become prevalent in biology. Large datasets allow the use of statistical constructs such as binning and linear regression to quantify relationships between variables and hypothesize underlying biological mechanisms based on it. We discuss several such examples in relation to single-cell data and cellular growth. In particular, we show instances where what appears to be ordinary use of these statistical methods leads to incorrect conclusions such as growth being non-exponential as opposed to exponential and vice versa. We propose that the data analysis and its interpretation should be done in the context of a generative model, if possible. In this way, the statistical methods can be validated either analytically or against synthetic data generated via the use of the model, leading to a consistent method for inferring biological mechanisms from data. On applying the validated methods of data analysis to infer cellular growth on our experimental data, we find the growth of length in E. coli to be non-exponential. Our analysis shows that in the later stages of the cell cycle the growth rate is faster than exponential.

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A Convex Hull-Based Fuzzy Regression to Information Granules Problem – An Efficient Solution to Real-Time Data Analysis

Software Engineering and Computer Systems - Communications in Computer and Information Science ◽

10.1007/978-3-642-22191-0_17 ◽

2011 ◽

pp. 190-204

Author(s):

Azizul Azhar Ramli ◽

Junzo Watada ◽

Witold Pedrycz

Keyword(s):

Data Analysis ◽

Convex Hull ◽

Real Time ◽

Efficient Solution ◽

Fuzzy Regression ◽

Time Data ◽

Information Granules ◽

Real Time Data

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Ageing, fiction, narrative exchange and everyday life

The New Dynamics of Ageing Volume 2 ◽

10.1332/policypress/9781447314783.003.0013 ◽

2018 ◽

pp. 243-262

Author(s):

Philip Tew ◽

Nick Hubble

Keyword(s):

Qualitative Research ◽

Data Analysis ◽

Data Collection ◽

Everyday Life ◽

Coming Of Age ◽

Think Tank ◽

Reading Groups ◽

The Third ◽

Research Context ◽

The University

This chapter focuses on the qualitative research undertaken through engagement with older respondents within the Fiction and Cultural Mediation of Ageing Project (FCMAP). Through consideration of FCMAP’s underlying methodologies and its data collection drawn from reflective diaries kept by University of the Third Age (U3A) Volunteer Reading Groups (VRGs), responses to a directive issued to existing diarists by the Mass Observation Archive at the University of Sussex with longitudinal analytical comparisons, and transcripts of ‘Ageing Re-imagined’ literary events and associated author interviews, FCMAP mapped the patterns of experience of and attitudinal responses to ageing. This chapter also outlines FCMAP’s development and subsequent data analysis in relation to key elements and outlines FCMAP’s collaboration with researchers from think-tank Demos and its prioritising of policy aspects of the research context, producing a policy report Coming of Age before summarising its overall findings.

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Multidimensional Scaling and Individual Differences

Journal of Marketing Research ◽

10.1177/002224377100800110 ◽

1971 ◽

Vol 8 (1) ◽

pp. 71-77 ◽

Cited By ~ 2

Author(s):

Paul E. Green ◽

Vithala R. Rao

Keyword(s):

Data Analysis ◽

Individual Differences ◽

Multidimensional Scaling ◽

Synthetic Data

This article compares, via synthetic data analysis, the performance of five different methods for scaling averaged dissimilarities data under conditions involving individual differences in “perception.” All methods perform well when no “degradation” of the (simulated) ratings is entailed. When the data are transformed to zero-one values—a procedure sometimes followed in applied studies—all procedures perform poorly compared to the no-degradation case. Implications of these results for scaling applications involving group solutions are discussed.

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The Experience of Respite during Home-Based Family Caregiving for Persons with Advanced Cancer

Journal of Palliative Care ◽

10.1177/082585970201800205 ◽

2002 ◽

Vol 18 (2) ◽

pp. 97-104 ◽

Cited By ~ 26

Author(s):

Vicki R. Strang ◽

Priscilla M. Koop ◽

Jacqueline Peden

Keyword(s):

Data Analysis ◽

Everyday Life ◽

Family Member ◽

Advanced Cancer ◽

Family Caregiving ◽

Physical Separation ◽

Life Patterns ◽

Interpretive Study ◽

Home Based ◽

At Home

The purpose of this qualitative interpretive study was to explore the experience of respite during home-based family caregiving for persons with advanced cancer. Fifteen caregivers were interviewed twice after the death of their family member. Three main themes emerged from the data analysis. First, caring for a dying family member at home is an emotionally intense, exhausting, and singular experience, set in a world apart from everyday life patterns. Second, the caregivers differentiated between cognitive breaks and physical (getting away from) breaks of respite. To achieve a cognitive break and yet remain within the caregiving environment was viewed as important, whereas the physical separation from it was significant only if it contributed in some meaningful way to the caregiving. Third, the meaning of respite is rooted in the desire to bring a measure of quality and normalcy to the life of the dying person. Respite means staying engaged in living life with the dying family member.

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