Intelligent services for big data science

Cities are areas where Big Data is having a real impact. Town planners and administration bodies just need the right tools at their fingertips to consume all the data points that a town or city generates and then be able to turn that into actions that improve peoples' lives. In this case, Big Data is definitely a phenomenon that has a direct impact on the quality of life for those of us that choose to live in a town or city. Smart Cities of tomorrow will rely not only on sensors within the city infrastructure, but also on a large number of devices that will willingly sense and integrate their data into technological platforms used for introspection into the habits and situations of individuals and city-large communities. Predictions say that cities will generate over 4.1 terabytes per day per square kilometer of urbanized land area by 2016. Handling efficiently such amounts of data is already a challenge. In this paper we present our solutions designed to support next-generation Big Data applications. We first present CAPIM, a platform designed to automate the process of collecting and aggregating context information on a large scale. It integrates services designed to collect context data (location, user's profile and characteristics, as well as the environment). Later on, we present a concrete implementation of an Intelligent Transportation System designed on top of CAPIM. The application is designed to assist users and city officials better understand traffic problems in large cities. Finally, we present a solution to handle efficient storage of context data on a large scale. The combination of these services provides support for intelligent Smart City applications, for actively and autonomously adaptation and smart provision of services and content, using the advantages of contextual information.Peer ReviewedPostprint (author's final draft

The role of big data in smart city

The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radio-frequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the existing communication technologies and smart-based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model that can manage big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data

The Research on Personalized Service System of Five Star Hotels Based on Big Data ——Taking Sheraton Xiamen Hotel for an Example

随着社会经济的发展及经济全球化，服务经济时代已经到来，酒店业作为主 导性的服务行业，一方面面临着前所未有的激烈竞争，另一方面也面临客户需求 的日益多元化，经营转型，推出差异化的产品和服务，开辟新增需求来开拓市场， 成为摆在星级酒店面前的重要课题。同时，大数据环境的成熟，也为酒店提供了 打造以个性化为基础的差异化服务的技术条件。 全文第一章对研究背景和意义进行了概括、总结，简要回顾了个性化服务、 大数据的概念和基本特征，论述个性化服务和大数据的关系。并对国内外研究的 现状进行了介绍和评述。第二章使用PEST模型对酒店业的宏观环境进行深入剖 析，论述酒店业目前面临的机遇和调整。提出...With the rapid development of market economy,the improvement of new technique and high techonology make the consumers' choice more diverse and their demand more personalized.Facing the diversity of the consumers' demand and the division of market, the hotel need the think from the consumers' perspective and enhance their satisfaction during the service.On the other hand, it is necessary to bui...学位：旅游管理硕士院系专业：管理学院_旅游管理硕士学号：1782012115114

Evaluating Google Trends as a Tool for Integrating the ‘Smart Health’ Concept in the Smart Cities’ Governance in USA

AbstractThe aim of this paper is to introduce the methodology of using online search traffic data in order to integrate the public's online behavior in Smart Health; a concept that is currently rising concerning the health factor of Smart Cities. We use normalized data from Google Trends from January 2013 to December 2015 in the US, aiming at exploring the change in interest in various medical terms, and examine if Google Trends is a possible tool for evaluating health search queries by nowcasting the public's online interest. The results show that Google Trends’ data can be used for measuring the public's interest in health related terms, in order to assist with the evaluation of ‘Smart Health’