An Adaptive Parallel PI-Skyline Query for Probabilistic and Incomplete Database

2019 ◽  
Vol 17 (07) ◽  
pp. 1950036
Author(s):  
Zezheng Liu ◽  
Yifu Zeng ◽  
Siyuan He ◽  
Yantao Zhou
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Incomplete Data ◽  
The Internet ◽  
Dominance Relationship ◽  
Skyline Query ◽  
Transmission Errors ◽  
Uncertain Database ◽  
Effectiveness And Efficiency ◽  
Query Algorithm

In the context of large quantities of information, the skyline query is a particularly useful tool for data mining and decision-making. However, the massive amounts of information on the Internet are frequently incomplete and uncertain due to data randomness, transmission errors, and many other reasons. Therefore, an efficient skyline query algorithm over an incomplete uncertain database is imperative. To address this issue, this paper proposes an efficient algorithm to apply skyline query on probabilistic incomplete data. The algorithm is based on U-Skyline model to avoid disadvantages of traditional P-Skyline model. The proposed methods introduce some novel concepts including transferred tuples, leading tuples and the new dominance relationship between probabilistic incomplete data. Besides, it is a parallel processing algorithm. Extensive experiments demonstrate the effectiveness and efficiency of the proposed algorithms.

Marketing Decision and Decision Support System Design Based on Web

2013 ◽  
Vol 850-851 ◽  
pp. 1048-1051
Author(s):  
Guang Yu Peng
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Logical Structure ◽  
The Internet ◽  
Marketing Decision ◽  
Online Analysis Processing

This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.

Internet Data Mining Using Statistical Techniques

2008 ◽  
pp. 1446-1453
Author(s):  
Kuldeep Kumar
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Statistical Techniques ◽  
The Internet ◽  
Broad Area ◽  
Financial Applications ◽  
Large Databases ◽  
Mining Tools

Data mining has emerged as one of the hottest topics in recent years. It is an extraordinarily broad area and is growing in several directions. With the advancement of the Internet and cheap availability of powerful computers, data is flooding the market at a tremendous pace. However, the technology for navigating, exploring, visualising, and summarising large databases is still in its infancy. Internet data mining is the process of collecting, analysing, and decision making while the data is being collected on the Internet. In most of the financial applications, data is updated every second or minute or hour. By using Internet data-mining tools, a decision can be made as soon as data are updated.

Internet Data Mining Using Statistical Techniques

2005 ◽  
pp. 1629-1634
Author(s):  
Kuldeep Kumar
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Statistical Techniques ◽  
The Internet ◽  
Broad Area ◽  
Financial Applications ◽  
Large Databases ◽  
Mining Tools

Data mining has emerged as one of the hottest topics in recent years. It is an extraordinarily broad area and is growing in several directions. With the advancement of the Internet and cheap availability of powerful computers, data is flooding the market at a tremendous pace. However, the technology for navigating, exploring, visualising, and summarising large databases is still in its infancy. Internet data mining is the process of collecting, analysing, and decision making while the data is being collected on the Internet. In most of the financial applications, data is updated every second or minute or hour. By using Internet data-mining tools, a decision can be made as soon as data are updated.

scholarly journals ANALISIS DATA MINING HOTEL BOOKING MENGGUNAKAN MODEL ID3

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Agus Budiyantara ◽  
Andreanus Kevin Wijaya ◽  
Anthony Gunawan ◽  
Michael Rolland
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Success Rate ◽  
Rapid Development ◽  
The Internet ◽  
Processing Data ◽  
The Future ◽  
Hotel Booking ◽  
Business Sectors

<em>The rapid development of information technology in this era makes it easier for someone to get information. Many business sectors are now promoting their products or services on the internet. An example is a hotel, in the technological era now we can easily find out about hotel information, ranging from location, price, and others. With the convenience to get information about this hotel, customers are indirectly increasing in a hotel. This of course causes the data contained in a hotel to increase as well. These data can be processed until we get an output and there is also data that is missing or cannot be processed. The data that can be processed can be analyzed until finally it becomes an information and prediction. In this journal, we will explain the Data Mining analysis in a hotel to analyze the success rate of a hotel. By doing this analysis, you will get insights about the level of success of the hotel and can also predict the future. Thus later the results of this analysis can be used by the hotel to assist in better decision making. Processing data in this study using the Rapid Miner application by entering data of customers who make hotel reservations</em>

Communicative Transformation of Professional Values of Modern Scientific Communities

Communicology ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 15-24
Author(s):  
A.S. Proskurina
Keyword(s):  
Decision Making ◽  
Professional Ethics ◽  
Scientific Work ◽  
Professional Values ◽  
The Internet ◽  
Practical Implementation ◽  
Scientific Communities ◽  
Neoliberal Reforms ◽  
Communication Practices ◽  
The Relationship

Today ethics is embodied not only in day-to-day life, but also in the communication that surrounds it. The study of communication in professional communities makes it possible to determine the relationship between declared and practically embodied values in work. Ethical attitudes are not only postulates embedded in ethical codes, but also principles of interaction embodied in the construction of the information space and decision-making. Features of modern communications influence the way professional ethics is structured, which, in turn, affects its content and practical implementation. The communication through the Internet makes scientific work performative, filling it with symbols and labels. Increasingly, communication practices have to be carried out around indicators, and thus communication becomes a conductor of neoliberal reforms in scientific work. Therefore, the consequence of modern forms of communication is the forced utilitarianism of ethics associated with the need to compete in the “scientific market”. The article suggests possible ways to overcome the contradictions of communicative transformations of professional values.

scholarly journals Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

2021 ◽  
Vol 13 (5) ◽  
pp. 110
Author(s):  
Mirko Duradoni ◽  
Stefania Collodi ◽  
Serena Coppolino Perfumi ◽  
Andrea Guazzini
Keyword(s):  
Decision Making ◽  
Ultimatum Game ◽  
The Internet ◽  
Self Disclosure ◽  
Quantitative Evidence ◽  
Web Technologies ◽  
Social Acts ◽  
Good Reputation ◽  
The Stranger

The stranger on the Internet effect has been studied in relation to self-disclosure. Nonetheless, quantitative evidence about how people mentally represent and perceive strangers online is still missing. Given the dynamic development of web technologies, quantifying how much strangers can be considered suitable for pro-social acts such as self-disclosure appears fundamental for a whole series of phenomena ranging from privacy protection to fake news spreading. Using a modified and online version of the Ultimatum Game (UG), we quantified the mental representation of the stranger on the Internet effect and tested if people modify their behaviors according to the interactors’ identifiability (i.e., reputation). A total of 444 adolescents took part in a 2 × 2 design experiment where reputation was set active or not for the two traditional UG tasks. We discovered that, when matched with strangers, people donate the same amount of money as if the other has a good reputation. Moreover, reputation significantly affected the donation size, the acceptance rate and the feedback decision making as well.

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