Massive Spatio-Temporal Mobility Data: An Empirical Experience on Data Management Techniques

2020 ◽  
pp. 41-54
Author(s):  
Sergio Di Martino ◽  
Vincenzo Norman Vitale
Keyword(s):  
Data Management ◽  
Mobility Data ◽  
Management Techniques ◽  
Spatio Temporal

A Survey on Big Data Processing Frameworks for Mobility Analytics

2021 ◽  
Vol 50 (2) ◽  
pp. 18-29
Author(s):  
Christos Doulkeridis ◽  
Akrivi Vlachou ◽  
Nikos Pelekis ◽  
Yannis Theodoridis
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Management ◽  
Spatial Data ◽  
State Of The Art ◽  
Temporal Data ◽  
Big Data Processing ◽  
Mobility Data ◽  
New Challenges ◽  
Spatio Temporal

In the current era of big spatial data, the vast amount of produced mobility data (by sensors, GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to mobility analytics. A cornerstone facilitator for performing mobility analytics at scale is the availability of big data processing frameworks and techniques tailored for spatial and spatio-temporal data. Motivated by this pressing need, in this paper, we provide a survey of big data processing frameworks for mobility analytics. Particular focus is put on the underlying techniques; indexing, partitioning, query processing are essential for enabling efficient and scalable data management. In this way, this report serves as a useful guide of state-of-the-art methods and modern techniques for scalable mobility data management and analytics.

scholarly journals Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification

2019 ◽  
Vol 33 ◽  
pp. 5458-5465 ◽  
Author(s):  
Dongbo Xi ◽  
Fuzhen Zhuang ◽  
Yanchi Liu ◽  
Jingjing Gu ◽  
Hui Xiong ◽  
...  
Keyword(s):  
Large Scale ◽  
Real Life ◽  
Location Prediction ◽  
Temporal Dependence ◽  
Great Opportunity ◽  
Mobility Data ◽  
Proposed Model ◽  
Poi Recommendation ◽  
Spatio Temporal ◽  
Dynamic Preferences

Human mobility data accumulated from Point-of-Interest (POI) check-ins provides great opportunity for user behavior understanding. However, data quality issues (e.g., geolocation information missing, unreal check-ins, data sparsity) in real-life mobility data limit the effectiveness of existing POIoriented studies, e.g., POI recommendation and location prediction, when applied to real applications. To this end, in this paper, we develop a model, named Bi-STDDP, which can integrate bi-directional spatio-temporal dependence and users’ dynamic preferences, to identify the missing POI check-in where a user has visited at a specific time. Specifically, we first utilize bi-directional global spatial and local temporal information of POIs to capture the complex dependence relationships. Then, target temporal pattern in combination with user and POI information are fed into a multi-layer network to capture users’ dynamic preferences. Moreover, the dynamic preferences are transformed into the same space as the dependence relationships to form the final model. Finally, the proposed model is evaluated on three large-scale real-world datasets and the results demonstrate significant improvements of our model compared with state-of-the-art methods. Also, it is worth noting that the proposed model can be naturally extended to address POI recommendation and location prediction tasks with competitive performances.

scholarly journals Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2972 ◽  
Author(s):  
Jorge Rodríguez ◽  
Ivana Semanjski ◽  
Sidharta Gautama ◽  
Nico Van de Weghe ◽  
Daniel Ochoa
Keyword(s):  
Hierarchical Clustering ◽  
Market Segmentation ◽  
Wearable Sensors ◽  
Essential Element ◽  
Cost Effective ◽  
Mobile Phone Data ◽  
Mobility Data ◽  
Tourism Management ◽  
Clustering Approach ◽  
Spatio Temporal

Understanding tourism related behavior and traveling patterns is an essential element of transportation system planning and tourism management at tourism destinations. Traditionally, tourism market segmentation is conducted to recognize tourist’s profiles for which personalized services can be provided. Today, the availability of wearable sensors, such as smartphones, holds the potential to tackle data collection problems of paper-based surveys and deliver relevant mobility data in a timely and cost-effective way. In this paper, we develop and implement a hierarchical clustering approach for smartphone geo-localized data to detect meaningful tourism related market segments. For these segments, we provide detailed insights into their characteristics and related mobility behavior. The applicability of the proposed approach is demonstrated on a use case in the Province of Zeeland in the Netherlands. We collected data from 1505 users during five months using the Zeeland app. The proposed approach resulted in two major clusters and four sub-clusters which we were able to interpret based on their spatio-temporal patterns and the recurrence of their visiting patterns to the region.

TINJAUAN HUKUM ISLAM TERHADAP PENERAPAN SISTEM WAKAF MENURUT FATWA NO. 106/DSN-MUI/X/2016

2021 ◽  
Vol 3 (1) ◽  
pp. 43
Author(s):  
Zulkifli Zulkifli ◽  
Sohrah Sohrah ◽  
Halimah B
Keyword(s):  
Data Management ◽  
Islamic Law ◽  
Field Research ◽  
Data Sources ◽  
Insurance Benefits ◽  
Validity Testing ◽  
Life Assurance ◽  
Data Validity ◽  
Management Techniques ◽  
Maximum Limit

AbstrakPokok masalah dalam Penelitian ini mengkaji tentang bagaimana tinjauan hukum Islam terhadap penerapan system wakaf polis menurut fatwa No. 106 DSN-MUI/X/2016 di PT. Prudential Life Assurance Agency Prucahaya Makassar. Jenis penelitian ini adalah penelitian lapangan (field research) menggunakan metode kualitatif dimana dilakukan dengan pendekatan teologis normatif, sosiologis dan fenomenologi dengan sumber data dari PT. Prudential Life Assurance Agency Pruchaya Makassar, selanjutnya metode pengumpulan data yang dilakukan adalah observasi, wawancara, dokumentasi dan studi pustaka, kemudian teknik pengelolaan data dilakukan melalui beberapa tahapan diantaranya: reduksi data, melakukan pengelolaan data dan pengujian keabsahan data. Hasil penelitian ini menunjukkan bahwa bagaimana penerapan system wakaf polis di PT. Prudential Life Assurance Agency Prucahaya Makassar terdapat beberapa unsur terkait idalamnya yaitu, kesesuaian aturan fatwa terhadap pelaksanaan perusahaan Prudential Syariah yang bekerja sama dengan lembaga wakaf dalam mengelola dana yang diwakafkan. Kesesuaian pernyataan form ikrar wakaf di Prudential Syariah batas maksimal yang sesuai ketentuan fatwa pada wakaf manfaat sebesar 45% dan wakaf manfaat sebesar 1/3 dari keseluruhan kekayaan atau tirkah serta kesesuaian prinsip syariah pada akad wakaf yang digunakan pada kontrak polis menggunakan akad tabarru dan menggunakan akag wakalah bil ujrah sebagian manfaatnya boleh di wakafkan. Dalam hal ini system wakaf polis sebagai salah satu produk dari unik link syariah di PT. Prudential Life Assurance Agency Prucahaya Makassar telah sesuai dengan syariat Islam ditinjau dari fatwa No. 106 DSN-MUI/X/2016 tentang wakaf manfaat asuransi dan manfaat investasi.Kata Kunci: Fatwa, Hukum Islam, Sistem Wakaf.  AbstractThe main problem in this research is reviewing how the review of Islamic law against the managementof the policy waqf system according to fatwaNo. 106 DSN-MUI/X/2016 in PT. Prudential Life Assurance Agency Prucahaya Makassar. This type of research is field research usingqualitativemethods which are carried out with normative theological, sociological and phenomenological approaches with data sources from PT. Prudential Life Assurance Agency Pruchaya Makassar,, then the method of data collection carried out is observation, interview, documentation and literature studies, then data management techniques are carried out through several stages including: data reduction, data management and data validity testing The results of this study show that how the implementation of the policy waqf system in PT. Prudential Life Assurance Agency Prucahaya Makassar there are several elements related to its idalam, namely, the suitability of fatwa rules against the implementation of Sharia Prudential companies that cooperate with waqf institutions in managing funds that are pledged. Conformity of waqf pledge form statement in Prudential Syariah maximum limit in accordance with the provisions of the fatwa on the waqf benefit of 45% and the waqf benefit of 1/3 of the overall wealth or tirkah and the suitability of sharia principles in the waqf contract used in the policy contract using tabarru agreement and using akag wakalah bil ujrah some of the benefits can be wakafkan. In this case the system wakaf polis as one of the products of unique sharia links in PT. Prudential Life Assurance Agency Prucahaya Makassar has been in accordance with Islamic law reviewed from fatwa No. 106 DSN-MUI/X/2016 on the endowment of insurance benefits and investment benefits.''Keywords: Fatwa, Islamic Law, Waqf System.

Is Homeopathy More Effective Now Than a Hundred Years Ago?

2021 ◽  
Vol 34 (02) ◽  
pp. 123-129
Author(s):  
Lex Rutten ◽  
Raj Kumar Manchanda ◽  
José Eizayaga
Keyword(s):  
Statistical Analysis ◽  
Data Management ◽  
Effective Treatment ◽  
Past Century ◽  
Scientific Level ◽  
Amount Of Information ◽  
The Past ◽  
Treatment Data ◽  
Management Techniques ◽  
Systematic Collection

AbstractDuring the past century, the amount of information about homeopathic medicines has grown dramatically. However, the recent coronavirus disease 2019 pandemic has shown that homeopathic practitioners do not use more medicines than a century ago and they seem to use less symptoms to find the proper medicine. This could be explained by the fact that the more than a hundred years old repertory was flawed from the beginning and that more information in the repertory leads the practitioner astray in an increasingly complex labyrinth of data.This can be resolved by applying modern data management techniques based on systematic collection of treatment data and statistical analysis of the data. Homeopathic practitioners should collect these data avoiding bias. This requires additional training of practitioners, which should also result in a higher scientific level of homeopathic practice and increasingly effective treatment as the database grows.

Mobility Profiling

2014 ◽  
pp. 1-29
Author(s):  
Mirco Nanni ◽  
Roberto Trasarti ◽  
Paolo Cintia ◽  
Barbara Furletti ◽  
Chiara Renso ◽  
...  
Keyword(s):  
Moving Objects ◽  
Human Mobility ◽  
Large Datasets ◽  
Accurate Analysis ◽  
Interesting Phenomenon ◽  
Transportation Management ◽  
Traffic Demand ◽  
Semantic Level ◽  
Mobility Data ◽  
Spatio Temporal

The ability to understand the dynamics of human mobility is crucial for tasks like urban planning and transportation management. The recent rapidly growing availability of large spatio-temporal datasets gives us the possibility to develop sophisticated and accurate analysis methods and algorithms that can enable us to explore several relevant mobility phenomena: the distinct access paths to a territory, the groups of persons that move together in space and time, the regions of a territory that contains a high density of traffic demand, etc. All these paradigmatic perspectives focus on a collective view of the mobility where the interesting phenomenon is the result of the contribution of several moving objects. In this chapter, the authors explore a different approach to the topic and focus on the analysis and understanding of relevant individual mobility habits in order to assign a profile to an individual on the basis of his/her mobility. This process adds a semantic level to the raw mobility data, enabling further analyses that require a deeper understanding of the data itself. The studies described in this chapter are based on two large datasets of spatio-temporal data, originated, respectively, from GPS-equipped devices and from a mobile phone network.

Intelligent Information System for Academic Institutions

2019 ◽  
pp. 207-232 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Data Management ◽  
Big Data Analytics ◽  
Research Data ◽  
Research Data Management ◽  
Innovative Work ◽  
Management Techniques ◽  
Scientific Results ◽  
Intelligent Information ◽  
Biomedical Publications ◽  
Work Done

Research and publication is considered an authenticated certificate of innovative work done by researchers in various fields. In research, new scientific results may be assessed, corrected, and further built up by the scientific neighborhood only if they are available in published form. Guidelines on accountable research and publication are currently set to encourage and promote high ethical standards in the conduct of research and in biomedical publications. They address various aspects of the research and publishing including duties of editors and authorship determination. The chapter presents research and publication system using big data analytics and research data management techniques with a background of information systems and need of information in research data management.

Multimedia Databases and Data Management

2012 ◽  
pp. 1-11
Author(s):  
Shu-Ching Chen
Keyword(s):  
Data Management ◽  
Relevant Information ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Formal Structure ◽  
Multimedia Database ◽  
Storage Devices ◽  
Temporal Relationships ◽  
Spatio Temporal ◽  
Application Requirements

The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.

Sign in / Sign up

Export Citation Format

Share Document