Press "Enter" to skip to content

BI by Turban Quiz

  1. Text mining can be used to increase cross-selling and up-selling by analyzing the unstructured data generated by call centers.

TRUE   

  1. Unstructured data has a predetermined format. It is usually organized into records as categorical, ordinal, and continuous variables and stored in databases.

FALSE

  1. Compared to polygraphs for deception-detection, text-based deception detection has the advantages of being nonintrusive and widely applicable to textual data and transcriptions of voice recordings.

TRUE

  1. Web pages consisting of unstructured textual data coded in HTML and logs of visitors’ interactions provide rich data that can easily provide effective and efficient knowledge discovery.

TRUE

  1. The purpose and processes of text mining are different from those of data mining because with text mining the input to the process are data files such as Word documents, PDF files, text excerpts, and XML files.

FALSE

  1. com leverages Web usage history dynamically and recognizes the user by reading a cookie written by a Web site on the visitor’s computer.

FALSE

  1. A vast majority of business data is captured and stored in text documents that are structured.

TRUE

  1. Why will computers probably not be able to understand natural language the same way and with the same accuracy that humans do?

A true understanding of meaning requires extensive knowledge of a topic beyond what is in the words, sentences, and paragraphs.

  1. Which of the following is not one of the three main areas of Web mining?

Web search mining

  1. The benefits of text mining are greatest in areas where very large amounts of textual data are being generated, such as law, academic research, finance, and medicine.

FALSE

  1. Forward-thinking companies like Ask.com, Scholastic, and St. John Health System are actively using Web mining systems to answer important questions of “Who?” “Why?” and “How?” The benefits of integrating these systems:

can be significant in terms of incremental financial growth and increasing customer loyalty and satisfaction.

  1. A vast majority of business data are stored in text documents that are ________.

Virtually unstructured

  1. Which of the following refers to developing useful information from the links included in the Web documents?

Web structure mining

  1. Data mining is the semi-automated process of extracting patterns from large amounts of unstructured data sources.

TRUE

  1. Text mining is the semi-automated process of extracting ________ from large amounts of unstructured data sources.
  2. Patterns
  3. useful information
  4. knowledge
  5. all of the above
  6. Analysis of the information collected by Web servers can help better understand user behavior. Analysis of this data is called ________ analysis.

Click streaming

  1. Businesses that effectively and efficiently tap into their text data sources will have the necessary knowledge to make better decisions, leading to a competitive advantage over those businesses that lag behind.

TRUE

  1. Customer experience management applications gather and report direct feedback from site visitors by benchmarking against other sites and offline channels, and by supporting predictive modeling of future visitor behavior.

FALSE

  1. Why does the Web pose great challenges for effective and efficient knowledge discovery?

The Web is too dynamic.

  1. Text mining is the process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data stored in structured databases, where the data are organized in records structured by categorical, ordinal, or continuous variables.

Sherry Roberts is the author of this paper. A senior editor at Melda Research in nursing paper writing services if you need a similar paper you can place your order for Medicine Essay Writing.

Be First to Comment

Leave a Reply