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Data mining is the process of evaluating data from diverse viewpoints and summarizing it into helpful information with the objective of reducing costs (Ucla.edu., 2012). This tool enables professionals to extract sense from any data presented to them for analysis.
Information management personnel in manufacturing industry and service industry use the data mining approach to generate meaning from large volumes of data. Data are essential in deriving invaluable information that facilitates effective decision-making. This expose elucidates the use of data and text mining in increasing efficiency at Abu Dhabi airport.
Using data mining at Abu Dhabi international airport will help develop approaches that guaranteed safety, cleanliness, and accessibility at the airport. Through data mining, workers at the Abu Dhabi airport have access to all pertinent data derived from support operations of the airport, which ensures safety and accessibility.
Conversely, the airport has established software solutions on activities such as cleaning and other support equipment in the airport including mobile inspection gadgets.
Data gathered by mobile inspection gadgets provide real time feedback to management on the location and operations of each machine or component in the airport, which ensures instantaneous reaction to issues. In effect, data mining facilitates the decision-making process depending on the urgency on a synchronized basis.
Alternatively, data mining enables users to manage support activities in the airport. These support activities include enabling users at the airport to generate environmental and management reports, which enable the stakeholders to have insights concerning performance of operations.
Taylor (2012) noted that data mining only makes suggestions with the airport making its own decisions. The Abu Dhabi airport management can only generate information from data obtained through mining. However, management should evaluate the information concerning safety and cleanliness of the airport. Use the data in making pertinent decisions.
Unstructured data occur in the form of electronic mails, presentations, reports, voice mails, photographs, agenda, and telephone notes, which constitutes of more than 80% of data globally is unstructured data (“Types of Unstructured Data,” 2011).
However, these data remain underutilized by traditional business information techniques such as reporting and queries making it lack precise internal organization in comparison to relational data (“Types of Unstructured Data,” 2011). Currently, unstructured data available at Abu Dhabi airport include a word processor documents, digital media documents such as video and audio, and text files such as electronic mails.
There are seven broad categories of unstructured (“Types of Unstructured Data,” 2011). These include static data, which is either stored or managed, but not modified. Static data include application output such as printable files that include fixed, scanned documents, and PDF files.
On the other hand, dynamic data include conventional authored files such as procedures and policies whose production, revision, evaluation, and endorsement is carried out by a group of people (“Types of Unstructured Data,”. 2011).
Conversely, data that include email and instant messaging represent communication between people and organizations can archive these data to serve as a business records. Business records are documents, either electronic or paper, subject to business influence concerning storage or deletion in compliance with industrial requirements (“Types of Unstructured Data,” 2011).
Briggs (2010) noted the ability of text mining in revealing high-quality information from unstructured data. These revealed data are crucial for the decision-making process in an organization. Conversely, text mining operates allows clients to ask numerous questions directly concerning high volumes of information and questions that generate unique insight in an issue (Witten et al., 2011).
It is crucial to note that text mining is crucial in identifying strong, weak points, and emerging trends (Briggs, 2010). Specifically, text mining can be helpful to the management of Abu Dhabi airport in decision making through target advertising and sales by classifying clients, airlines, and logistic companies into small groups based on their similarities.
Briefly, decision makers at Abu Dhabi airport can use information, derived from text mining, to create policies that would enhance the operations and profitability of the airport. Through advancements and gains made in the field of text mining, the decision-making process at Abu Dhabi airport is easier, and it enhances efficiency.
References
Briggs, L. (2010). Text Mining and Analytics Draw Interest: Text mining can turn text into gold. Web.
Taylor, J. (2012).Why You Should be Careful about Data Mining. Web.
Types of Unstructured Data. (2011). Web.
Ucla.edu. (2012). Data Mining: What is Data Mining? Web.
Witten, I., Frank, E. & Hall, M. (2011). Data Mining: Practical Machine Learning Tools and Techniques (3rd. Ed.). In The Morgan Kaufmann Series in Data Management Systems. Pp 254-258.
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