data mining

Data Mining and Database use in the Construction industry {0}

By Mackenzie B.

With the advancement of technology and our ability to pool and collect information digitally, we’re able to minimize the collection of previously written copies of work and compile them into simple small archives of information. Where previously files, folders, and endless drawers of signed documents were once stored; Databases allows us to maximize the efficiency of the construction industry ranging from a collection of completed land permits, to legal documents and leases, to client information and a collection of parts for labour. Having engineers being able to pre-test their designed structures and building managers and clients being able to understand how strongly designed their structures are, are some of the most important steps in creating a well built building. read more...

Real World Product Database {0}

By Aerold B.

A product or a service is the bread and butter of all businesses. Every business needs to keep track of every item that they sell. Whether it’s the current stock of a product or the product’s location. In the past, businesses do not have a computer to keep track of their products. Instead, they use paper to communicate and keep track of every product that they sell. These papers are installed in cabinets so that it can be accessed in the future. The introduction of personal computing revolutionized how businesses store their data. Database replaced cabinets. According to AJ Graham, there are several types of databases that have been around since the 1960s. It was not until the 1970s when the most commonly used type of database was created. This most commonly used type of database is the Relational databases. Database made it easier for businesses to keep track of their product. Database also made it possible for businesses to enter their product data in the cloud and can be accessed by authorized employees in the company. Database are also used for business services such as banking, insurance, and transportation services. read more...

Data Mining in Agriculture {0}

By: Paola A.

Every year, technology changes and new developments help many economic sectors discover new ways to improve, forecast a change, etc. For example, one economic sector that is benefitting from using new developments in technology is agriculture. In agriculture, a way to discover this type of changes is through data mining. But what exactly is data mining and how is agriculture benefitting from this. “Data mining involves the process of finding large quantity of previously unknown data, and then their use in important business decision making” (Milovic & Radojevic, 2015). For instance, in developing countries such as India, using data mining for “price prediction helps the farmers and also Government to make effective decision[s]” (Hemageetha & Nasira, 2012). Furthermore, data mining is something that could also help consumers by preparing them in case of any change in prices. Finally, this method of collecting data is something that can definitely improve and benefit the way farmers, government, and consumers make better decisions in the future with different applications, but it also has challenges and limitations.
Using data mining in agriculture benefits farmers, government, etc. in many ways. One of the ways that using data mining is beneficial in agriculture is “possibility to study hidden patterns in datasets in agricultural domain. These patterns can be used for diagnosing crop condition, prognosing market development, monitoring customer solvency” (Milovic & Radojevic, 2015). In other words, it can help farmers tell around the time that their crop would flourish, make predictions of when their product is more likely to sell, and what product customers are buying more. Also, another benefit is that “Agricultural institutions use data mining technique and applications for different areas, for instance agronomists use patterns measuring growth indicators of plants, crop quality indicators, success of taken agro technical measures and managers of agricultural organizations pay attention on user satisfaction and economically optimal decisions” (Milovic & Radojevic, 2015). read more...

Data Mining in Marketing {0}

By: Mohammed A.

Have you ever experienced this, where you open your social media page and all of a sudden see advertisements of a shirt or pair of shoes you were looking at a day ago; well know that it is not a coincidence. It is very likely that the company has been monitoring your online habits for some time and used that data to market and advertise specific products that align with your interests. Within the journal article “Revisiting the problem of market segmentation,” the author emphasizes how data mining helps marketing users to target marketing campaigns and also to align campaigns with the needs, wants, and attitudes of customers and prospects (Lien). This process is most widely used digitally, where every website a person visits leaves a digital footprint, which allows companies to gather that data and market products that will appeal to the individual the most. In essence, data mining can be very beneficial in the advertisement and market industry, where companies are able to gain a competitive advantage through the use of various tools and techniques that allow them to monitor their potential customers’ behaviors. read more...