More Essay Examples on Algeria Rubric Political factors such as the incoming wave of Islam, a push factor, and the ability to practice Christianity a pull factor caused the Aksumites to migrate inland.
Drill down to Boston.
The user forms a hypothesis about a relationship and verifies it or discounts it with a series of queries against the data. For example, an analyst might hypothesize that people with low income and high debt are bad credit risks and query the database to verify or disprove this assumption.
Data mining can be used to generate an hypothesis. For example, an analyst might use a neural net to discover a pattern that analysts did not think to try - for example, that people over 30 years old with low incomes and high debt but who own their own homes and have children are good credit risks.
How Data Mining Works How is data mining able to tell you important things that you didn't know or what is going to happen next? That technique that is used to perform these feats is called modeling. Modeling is simply the act of building a model a set of examples or a mathematical relationship based on data from situations where the answer is known and then applying the model to other situations where the answers aren't known.
Modeling techniques have been around for centuries, of course, but it is only recently that data storage and communication capabilities required to collect and store huge amounts of data, and the computational power to automate modeling techniques to work directly on the data, have been available.
As a simple example of building a model, consider the director of marketing for a telecommunications company. He would like to focus his marketing and sales efforts on segments of the population most likely to become big users of long distance services.
He knows a lot about his customers, but it is impossible to discern the common characteristics of his best customers because there are so many variables. From his existing database of customers, which contains information such as age, sex, credit history, income, zip code, occupation, etc.
This, then, is his model for high value customers, and he would budget his marketing efforts to accordingly. Data Mining Technologies The analytical techniques used in data mining are often well-known mathematical algorithms and techniques.
What is new is the application of those techniques to general business problems made possible by the increased availability of data and inexpensive storage and processing power. Also, the use of graphical interfaces has led to tools becoming available that business experts can easily use.
Some of the tools used for data mining are: Artificial neural networks - Non-linear predictive models that learn through training and resemble biological neural networks in structure.
Decision trees - Tree-shaped structures that represent sets of decisions. These decisions generate rules for the classification of a dataset.
Rule induction - The extraction of useful if-then rules from data based on statistical significance. Genetic algorithms - Optimization techniques based on the concepts of genetic combination, mutation, and natural selection. Nearest neighbor - A classification technique that classifies each record based on the records most similar to it in an historical database.
Real-World Examples Details about who calls whom, how long they are on the phone, and whether a line is used for fax as well as voice can be invaluable in targeting sales of services and equipment to specific customers.What is a PEA?
Read on for a look at the information PEAs include and why they are a crucial part of the exploration and mining process. Investors interested in the resource sector will find that. Nov 10, · News about Mines and Mining, including commentary and archival articles published in The New York Times.
Gold mining is a growing cause of the environmental degradation of tropical protected areas and ecosystems . The recent dramatic increase in gold prices has made it much more.
Foundations and Trends in Information Retrieval 2(), pp. 1–, Also available as a book or e-book. Note also the description of the publisher's philosophy and benefits of their approach.
If you would like to support a publisher that allows authors to post full content for free on their. The mineral industry of Russia is one of the world's leading mineral industries and accounts for a large percentage of the Commonwealth of Independent States' production of a range of mineral products, including metals, industrial minerals, and mineral srmvision.com , Russia ranked among the leading world producers or was a significant producer of a vast range of mineral commodities, including.
Mining Group Gold Introduction Thomas Kayser, author of Mining Gold: How to Cash in on the Collaborative Brain Power of a Team for Innovation and Results, stated in his book “If you can’t or won’t take the time to do the simple preparatory work, you haven’t earned the right to convene a group session.” Essay on Gold Mining in.