Data Research Papers

Mathematical Methods in Human Geography and Planning

This volume has been written for students, researchers and practitioners in the field of human geography and planning, and describes how mathematics is used as a tool in these subjects by illustration with examples from the field. Detailed ...

Patterns in human geography

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Abstract The bath industry has multiple attributes, such as economic, health, and cultural communication. Therefore, exploring this industry's spatial pattern evolution is crucial to forming a healthy and balanced development model. Based o...

Methods and Techniques in Human Geography

Exploring geographical data testing hypotheses measuring associations multivariate analysis generalized linear models and categorical data analysis spatial allocation spatial interaction spatial datatistics, spatial models and spatial struc...

Big data and human geography

We are entering an era of big data – data sets that are characterised by high volume, velocity, variety, exhaustivity, resolution and indexicality, relationality and flexibility. Much of these data are spatially and temporally referenced an...

Locational Analysis in Human Geography

(1967). Locational Analysis in Human Geography. Economic Geography: Vol. 43, No. 3, pp. 276-277....

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming

Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, along with the ava...

A Fuzzy DEMATEL Application for Criteria Affecting Database Management System Selection in a Specific Problem Context

Database management systems (DBMS) are one of the basic building blocks of many software projects developed in technology companies. However, each DBMS supports different features. It is practically impossible and costly to try out all DBMS...

A deep learning recognition model for landslide terrain based on multi-source data fusion

The traditional high-level remote landslide recognition efficiency which relies on the artificial discrimination of geological experts is low. In this paper, an automatic landslide terrain recognition model based on deep learning is develop...

A Novel Construction Method of Bayesian Neural Networks Based on Multi-type Engineering Knowledge

Abstract In the field of engineering, the utilization of surrogate models to replace computationally intensive simulation software has become a widely adopted approach. However, when addressing complex engineering problems, the costs of sim...

Pengembangan Sistem Informasi DataRawat Berbasis Web

Rekam medis adalah catatan kesehatan pasien berdasarkan hasil pemeriksaan, pengobatan, tindakan, dan layanan yang telah diberikan kepada pasien. Beberapa instansi medis telah menggunakan sistem rekam medis elektronik atau Electronic Medical...

Lessons Learned from Developing a Massive Open Online Course (MOOC) to Support Citizen Scientists in Africa

Data gaps limit solutions and policy development for environmental issues. Citizen science offers a possible solution to reduce data gaps at a limited cost while enhancing environmental education (EE). While highly effective in the latter, ...

Human Intelligence (HI –<i>Nous</i>) and Artificial Intelligence (AI) in ESP/EAP Teaching and Editing of Inter-Disciplinary Research for International Communication – Case Studies and Methods

In this study the author will present how Human Intelligence (HI – nous), in co-operation with Artificial Intelligence (AI) – Internet can communicate his/her knowledge and interdisciplinary research to an international context (i.e., Erasm...

Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems

Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...

Parallelly Running k-Nearest Neighbor Classification Over Semantically Secure Encrypted Data in Outsourced Environments

Cloud services with powerful resources are popularly used to manage exponentially increasing data and to carry out data mining to analyze the data. However, a data mining involving query can cause privacy problems by disclosing both the dat...

Advanced Combination Localization Algorithm Based on Trilateration for Dynamic Cluster Network

Dynamic cluster network localization requires taking the following factors into consideration: 1) the localization time of network nodes; 2) the communication load among all cluster nodes, and; 3) the presence of the abnormal distance measu...

Statistics for Spatial Data.

5. Statistics for Spatial Data. By N. Cressie. ISBN 0 471 84336 9. Wiley, Chichester, 1991. 900 pp. £71.00....

Statistics and data mining

Statistics and data mining have much in common, but they also have differences. The nature of the two disciplines is examined, with emphasis on their similarities and differences....

Statistics and Computing

THE ANALYSYS OF ROMANIAN GOVERNMENT INVESTMENT EXPENDITURE IN 2008 – 2017 INTERVAL

First, I introduce the concept of government investment expenditure in the context of macroeconomic evolution of last decade (2008 – 2017). We had a terrible crisis in the beginning of analysed period of time prolonged into stagnation and a...