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Exploring spatial clusters of caesarean sections across India - Insights from National Family Health Survey data. [PDF]
PLOS Glob Public HealthSahoo DP +5 more
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Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data. [PDF]
BMJ OpenAli AS, Hassan YSA, Ahmed MM, Omar MA.
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A Bayesian model for repeated cross-sectional epidemic prevalence survey data. [PDF]
PLoS Comput BiolSteyn N +3 more
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Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data. [PDF]
J Med Internet ResWillard-Grace R +6 more
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Mobile Networks and Applications, 2014
In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. We then focus on the four phases of the value chain of big data, i.e., data generation, data acquisition, data storage ...
Min Chen 0003 +2 more
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In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. We then focus on the four phases of the value chain of big data, i.e., data generation, data acquisition, data storage ...
Min Chen 0003 +2 more
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2019 2nd International Conference on Data Intelligence and Security (ICDIS), 2019
Surveys are commonly used as an important data collection tool for empirical research in many applications such as social sciences, marketing and pedagogy. Survey data is becoming one of the major data sources in the era of big data. Conventional statistic tools are utilized to perform survey data analysis.
Hansheng Lei +3 more
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Surveys are commonly used as an important data collection tool for empirical research in many applications such as social sciences, marketing and pedagogy. Survey data is becoming one of the major data sources in the era of big data. Conventional statistic tools are utilized to perform survey data analysis.
Hansheng Lei +3 more
openaire +1 more source
2023
This chapter focuses on survey methods for studying writing processes. We specifically focus on questionnaires, interviews, and process logs, which all represent subjective self-report instuments. We start by describing the affordances of these data collection procedures, and review some relevant L1 and L2 studies which employed
Sofia Hort, Olena Vasylets
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This chapter focuses on survey methods for studying writing processes. We specifically focus on questionnaires, interviews, and process logs, which all represent subjective self-report instuments. We start by describing the affordances of these data collection procedures, and review some relevant L1 and L2 studies which employed
Sofia Hort, Olena Vasylets
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2008
When economists analyse survey data, they must confront characteristics of the data-generating process that may distinguish these data from other types, such as administrative records.
Jeff Dominitz, Arthur van Soest
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When economists analyse survey data, they must confront characteristics of the data-generating process that may distinguish these data from other types, such as administrative records.
Jeff Dominitz, Arthur van Soest
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A Survey on Temporal Data Warehousing
International Journal of Data Warehousing and Mining, 2009Data warehouses are information repositories specialized in supporting decision making. Since the decisional process typically requires an analysis of historical trends, time and its management acquire a huge importance. In this paper we consider the variety of issues, often grouped under term temporal data warehousing, implied by the need for ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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Knowledge and Information Systems, 2018
Summarization has been proven to be a useful and effective technique supporting data analysis of large amounts of data. Knowledge discovery from data (KDD) is time consuming, and summarization is an important step to expedite KDD tasks by intelligently reducing the size of processed data. In this paper, different summarization techniques for structured
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Summarization has been proven to be a useful and effective technique supporting data analysis of large amounts of data. Knowledge discovery from data (KDD) is time consuming, and summarization is an important step to expedite KDD tasks by intelligently reducing the size of processed data. In this paper, different summarization techniques for structured
openaire +1 more source