I. Introduction
NATE is one of the biggest web portals in South Korea and was developed by SKCommunications. It has operated the online community service Cyworld and acquired a great population of users. However, recent statistics show that its market share has gradually decreased due to a multiple of reasons. We chose NATE because it is the third largest one in South Korea, and it has lost
The word cloud computing means that all the data get to be in cloud (the metaphor of network environment), not each hard disks. That is, every data can be installed in any time and any place if there is PC, PDA or just cell phone. The basic principle of cloud computing is to gather each computer’s resource which exist in another physical place by virtualization. It can be demonstrated as we can
On July 27, 1994, the U.S. Department of Justice, Antitrust Division filed a Competitive Impact Statement that said, in part: "Beginning in 1988, and continuing until July 15, 1994, Microsoft induced many OEMs to execute anticompetitive "per processor" licenses. Under a per processor license, an OEM pays Microsoft a royalty for each computer it sells containing a particular microprocessor, whethe
amount of links to the same page on the source page.
The amount of domains that link to the target page.
The amount of variations that are used as anchor text to links to the target page.
The ownership relationship between the source and target domains.
In addition to these metrics, external links are important for two main reasons:
Popularity
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Cloud Computing
It is internet-based computing, whereby shared resources. Software, and information are provided to computers and other devices on demand.
N-SCREEN
It enable to provide
a common service to the various devices based on OS
The introduction of smart TV is available in the TV itself greatly expand the amount of content, but transfer of content such as mobile devices inc
drivers of Industry 4.0 is the increasing use of artificial intelligence and machine learning. These technologies enable machines to analyze large amounts of data, make predictions, and carry out tasks with a high degree of precision and accuracy. This has significant implications for the manufacturing process, as it allows for increased efficiency, reduced waste, and improved product quality.
Introduction (Description/Background)
Our company, Amazon.com, Inc.1), has gained the large amount of the customer data in grocery segment by acquiring Whole Foods. The purpose is to customize the grocery shopping experience to each individual user (i.e., upselling), and to discover other opportunities. To achieve this goal, Amazon must utilize analytics to process the data and gain insights.
Op
amount of raw material use and to increase production. JHP did not incorporate an analytics department in its business and maintained outsourcing strategy up until now.
The Problem
The leadership of JHP realized a major change must be made in its manufacturing system. The new product line for the gas turbine engines requires new parts and materials, that the old manufacturing systems did not adop
fast-changing environment. If a person is to perform data gathering and analysis for every change in data, it would be impossible for him to complete the task because the data is endlessly generated in this era of big data. What would be the amount of data trails that people visiting Amazon’s web page leave every day? Uncountable. The machine learning is a must in such a business environment.
Definition of Big Data
Storing large amount of data for collection, identification, analysis in a process of series of business
The area of data storage through various digital devices and the data collected valuable information in finding and clearly to convey information to the person or organization you want to sell