An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach

Risk assessment analysis for investment decisions largely depends on expert judgment using traditional approaches and is lacking in considering investors’ different preferences and limitations. This paper proposes an adaptive personalized property investment risk analysis (APPIRA) method to identify the property investment determinants using a data-driven and personalized approach to weight the risk factors using the multicriteria decision model for optimal solutions. Result for predictive modeling using value prediction technique that measures the median house price depicts that the best method used was nonseasonal ARIMA. Furthermore, classification technique indicates that in each of the three selected suburbs, different property characteristics determined the rental properties desirable. As shown in result, for the investors who plan to invest in property for rental purposes, they need to choose townhouse type or property to make it rentable while for Vaucluse, terrace houses. These results can be applied into practice and will benefit the property industry directly.

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Review of Consumer-to-Consumer E-Commerce Research Collaboration

Journal of Organizational and End User Computing ◽

10.4018/joeuc.20210701.oa8 ◽

2021 ◽

Vol 33 (4) ◽

pp. 167-184

Author(s):

Chih-Hung Yuan ◽

Chia-Huei Wu ◽

Dajiang Wang ◽

Shiyun Yao ◽

Yingying Feng

Keyword(s):

Research Collaboration ◽

The United States ◽

Data Driven ◽

Analysis Method ◽

Theoretical Frameworks ◽

Research Papers ◽

Main Approach ◽

Content Analysis Method ◽

Data Driven Approach ◽

Study Teams

This study uses a content analysis method to systematically review 83 research papers from 2002-2018 to explore consumer-to-consumer (C2C) e-commerce research trends. The findings of this study indicate that (1) C2C e-commerce is discussed and investigated in many disciplines, but mainly published in e-commerce journals; (2) studies on C2C e-commerce increasingly focus on diverse topics, but concentrate on regions such as China and the United States; (3) the focus of academic collaboration has shifted from domestic to international collaboration, and collaboration within the same institution. However, collaboration is scarce across different study teams; (4) the data-driven approach is the main approach used in studies on C2C e-commerce; (5) while the number of recent C2C e-commerce studies adopted theories is increasing, few have developed theoretical frameworks or models. Finally, study implications and future study suggestions are also discussed.

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Data Driven Approach to Forecast Building Occupant Complaints

Construction Research Congress 2020 ◽

10.1061/9780784482865.019 ◽

2020 ◽

Author(s):

Sena Assaf ◽

Mohamad Awada ◽

Issam Srour

Keyword(s):

Data Driven ◽

Data Driven Approach

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Analysis and Interpretation of Multi-Source Data at the Hydraulic Fracturing Test Site: A Data-Driven Approach to Improve Well Performance Evaluation in Heterogeneous Formations

Proceedings of the 2020 Latin America Unconventional Resources Technology Conference ◽

10.15530/urtec-2020-1560 ◽

2020 ◽

Author(s):

Shadi Salahshoor

Keyword(s):

Performance Evaluation ◽

Hydraulic Fracturing ◽

Test Site ◽

Data Driven ◽

Well Performance ◽

Source Data ◽

Data Driven Approach ◽

Heterogeneous Formations

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Extended-Range Prediction with Low-Dimensional, Stochastic-Dynamic Models: A Data-driven Approach

10.21236/ada572180 ◽

2012 ◽

Author(s):

Michael Ghil ◽

Mickael D. Chekroun ◽

Dmitri Kondrashov ◽

Michael K. Tippett ◽

Andrew Robertson ◽

...

Keyword(s):

Dynamic Models ◽

Data Driven ◽

Stochastic Dynamic ◽

Extended Range ◽

Data Driven Approach ◽

Low Dimensional

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Are Self-Reported Smoking Information As Good As Clinical Measures? Evidence From a Data Driven Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3173307 ◽

2018 ◽

Author(s):

Benjamin Ukert

Keyword(s):

Data Driven ◽

Data Driven Approach ◽

Clinical Measures

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Head Motion Generation with Synthetic Speech: A Data Driven Approach

10.21437/interspeech.2016-419 ◽

2016 ◽

Cited By ~ 5

Author(s):

Najmeh Sadoughi ◽

Carlos Busso

Keyword(s):

Data Driven ◽

Synthetic Speech ◽

Head Motion ◽

Motion Generation ◽

Data Driven Approach

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A Mostly Data-Driven Approach to Inverse Text Normalization

10.21437/interspeech.2017-1274 ◽

2017 ◽

Cited By ~ 1

Author(s):

Ernest Pusateri ◽

Bharat Ram Ambati ◽

Elizabeth Brooks ◽

Ondrej Platek ◽

Donald McAllaster ◽

...

Keyword(s):

Data Driven ◽

Data Driven Approach ◽

Text Normalization

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Preventing Accidental Spills: Risk Analysis and the Discharge Permitting Process

Water Science & Technology ◽

10.2166/wst.1994.0097 ◽

1994 ◽

Vol 29 (3) ◽

pp. 189-197 ◽

Cited By ~ 1

Author(s):

Frans A. N. van Baardwijk

Keyword(s):

Risk Analysis ◽

Surface Waters ◽

Legal Framework ◽

Sewage Water ◽

Correction Factors ◽

Analysis Method ◽

Sewage Water Treatment ◽

Accident Scenarios ◽

Contaminating Substances ◽

Permitting Process

The contribution of accidental discharges to the total emission of contaminating substances in surface waters is relatively increasing, as regular discharges are reduced. In The Netherlands a program has been started to develop a quantitative risk analysis method to be used within the discharge permitting process. The methodology takes into account the type of activities and related accident scenarios in terms of failure frequencies and source sizes, correction factors according to specific circumstances, as well as the nature of the receiving system (types of surface waters, but also public sewage water treatment plants). The methodology will provide an indication of the risk reduction needed in terms of reducing the frequency and/or the volume of possible spills. The method itself, the use of it within the legal framework and the relation with the EC-Directives are discussed.

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