scholarly journals Real-World Data Difficulty Estimation with the Use of Entropy

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1621
Author(s):  
Przemysław Juszczuk ◽  
Jan Kozak ◽  
Grzegorz Dziczkowski ◽  
Szymon Głowania ◽  
Tomasz Jach ◽  
...  
Keyword(s):  
Real World ◽  
Real Estate Market ◽  
Entropy Measure ◽  
Real World Data ◽  
World Data ◽  
The Real Estate ◽  
The Real Estate Market ◽  
The Internet Of Things ◽  
Selection Of

In the era of the Internet of Things and big data, we are faced with the management of a flood of information. The complexity and amount of data presented to the decision-maker are enormous, and existing methods often fail to derive nonredundant information quickly. Thus, the selection of the most satisfactory set of solutions is often a struggle. This article investigates the possibilities of using the entropy measure as an indicator of data difficulty. To do so, we focus on real-world data covering various fields related to markets (the real estate market and financial markets), sports data, fake news data, and more. The problem is twofold: First, since we deal with unprocessed, inconsistent data, it is necessary to perform additional preprocessing. Therefore, the second step of our research is using the entropy-based measure to capture the nonredundant, noncorrelated core information from the data. Research is conducted using well-known algorithms from the classification domain to investigate the quality of solutions derived based on initial preprocessing and the information indicated by the entropy measure. Eventually, the best 25% (in the sense of entropy measure) attributes are selected to perform the whole classification procedure once again, and the results are compared.

Local Investments Site Selection and the Behavior of the Real Estate Market – Case Study in Poland

2017 ◽  
Author(s):  
Monika Siejka
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Negative Impact ◽  
Real Estate Market ◽  
The European Union ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Real Estate Management

One of the main tasks of real estate management in the area of the municipality is making decisions concerning the location of investments on a local scale. These decisions should be taken with the principle of sustainable development. For such an action obliges Poland's membership in the European Union. Poland as a member of the EU is obliged to implement the rules in force in the Member States. Bearing in mind that any investment impact directly or indirectly on the economic development of the municipality, is therefore a significant impact on the local real estate market. Investments that have a negative impact on the environment can contribute to a reduction in the activity of the local real estate market. While performing tasks related to the economic development of the region and the increase in quality of life, increases the activity of the local real estate market. The work was carried out research on the dynamics of changes in the local real estate market in the area of the municipality Skrzyszow in the Malopolska province in Poland, in connection with the construction of the reservoir.

Proficient Normalised Fuzzy K-Means With Initial Centroids Methodology

2018 ◽  
Vol 8 (1) ◽  
pp. 42-59
Author(s):  
Deepali Virmani ◽  
Nikita Jain ◽  
Ketan Parikh ◽  
Shefali Upadhyaya ◽  
Abhishek Srivastav
Keyword(s):  
Unsupervised Learning ◽  
Real World ◽  
Learning Algorithms ◽  
Clustering Algorithms ◽  
Real World Data ◽  
World Data ◽  
Clustering Problem ◽  
Time Required ◽  
Selection Of

This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number of clustering algorithms like k-means, k-medoids, normalized k-means, etc. So, the focus remains on efficiency and accuracy of algorithms. The focus is also on the time it takes for clustering and reducing overlapping between clusters. K-means is one of the simplest unsupervised learning algorithms that solves the well-known clustering problem. The k-means algorithm partitions data into K clusters and the centroids are randomly chosen resulting numeric values prohibits it from being used to cluster real world data containing categorical values. Poor selection of initial centroids can result in poor clustering. This article deals with a proposed algorithm which is a variant of k-means with some modifications resulting in better clustering, reduced overlapping and lesser time required for clustering by selecting initial centres in k-means and normalizing the data.

scholarly journals Diversified Price Dynamics in some Sub-Segments of the Housing Market

2015 ◽  
Vol 15 (1) ◽  
pp. 162-173
Author(s):  
Sebastian G. Kokot
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Real Estate Market ◽  
Quality Of Data ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Price Movements

Abstract The observation of price movements on the real estate market is an extremely difficult task as we have to face problems belonging to two spheres. The first of them is the specific nature of real estate as marketable objects and of the real estate market itself. The second one is the character and quality of data on real estate transaction prices. In this article the author, based on an empirical study, attempts to prove that even in a single segment of a local real estate market the prices in individual sub-segments can fluctuate with different intensity. The range of price movements can be so vast that it seems pointless to apply a single averaged price index for the whole segment, and usually that is what analysts do.

scholarly journals Real-world data: how they can help to improve quality of care

2021 ◽  
Vol 8 ◽  
pp. 134-139
Author(s):  
Giovanni Corrao ◽  
Giovanni Alquati ◽  
Giovanni Apolone ◽  
Andrea Ardizzoni ◽  
Giuliano Buzzetti ◽  
...  
Keyword(s):  
Public Health ◽  
Quality Of Care ◽  
Real World ◽  
Ethical Issues ◽  
Data Availability ◽  
Quality Data ◽  
Real World Data ◽  
World Data ◽  
Critical Issues

The current COVID pandemic crisis made it even clearer that the solutions to several questions that public health must face require the access to good quality data. Several issues of the value and potential of health data and the current critical issues that hinder access are discussed in this paper. In particular, the paper (i) focuses on “real-world data” definition; (ii) proposes a review of the real-world data availability in our country; (iii) discusses its potential, with particular focus on the possibility of improving knowledge on the quality of care provided by the health system; (iv) emphasizes that the availability of data alone is not sufficient to increase our knowledge, underlining the need that innovative analysis methods (e.g., artificial intelligence techniques) must be framed in the paradigm of clinical research; and (v) addresses some ethical issues related to their use. The proposal is to realize an alliance between organizations interested in promoting research aimed at collecting scientifically solid evidence to support the clinical governance of public health.

scholarly journals Breast cancer patients’ quality of life: Real-world data

2019 ◽  
Vol 30 ◽  
pp. v744-v745
Author(s):  
T. Kosmidis ◽  
B. Athanasakou ◽  
P.A. Kosmidis
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Real World ◽  
Breast Cancer Patients ◽  
Real World Data ◽  
World Data

scholarly journals Health Related Quality of Life-Outcome in National Care - Real World Data from the German Psoriasis-Registry “Psobest”

2013 ◽  
Vol 16 (7) ◽  
pp. A511
Author(s):  
S. Purwins ◽  
C. Spehr ◽  
M. Augustin ◽  
M.A. Radtke ◽  
K. Reich ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Real World ◽  
Health Related Quality ◽  
Real World Data ◽  
World Data ◽  
Related Quality ◽  
Health Related

Building sales: advertising and the property market

2018 ◽  
pp. 168-207
Author(s):  
Conor Lucey
Keyword(s):  
Nineteenth Century ◽  
Real Estate ◽  
Real Estate Market ◽  
Property Market ◽  
Economic Activities ◽  
Luxury Goods ◽  
The Real Estate ◽  
The Real Estate Market ◽  
House Building

Having examined the building and decorating of the urban house, this chapter explores how the artisan approached marketing and selling real estate. As the first sustained analysis of property advertising in the eighteenth and early nineteenth-century Atlantic world, this chapter first considers how regional variations and social demographics (aristocratic audiences in London and Dublin compared with merchant audiences in Boston and Philadelphia) dictated the form and content of property notices, reflecting on issues such as location, quality of structural and decorative finish, convenience, and decorum. But while house-building and house-selling were principally economic activities, representing the motivating force for building mechanics to enter the real estate market, the evidence from property advertisements reveals that builders were cognizant of the semantics of advertising rhetoric and employed a vocabulary that emulated that of auctioneers, luxury goods manufacturers and other polite retailers.

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