IDC 3931 Final
Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales.
False
Hadoop and MapReduce require each other to work.
False
In a dataset where all values on an observation are supposed to be populated you encounter several which are empty (NULL). It is best to just replace these NULL values with the average of that column of data.
False
In most cases, Hadoop is used to replace data warehouses.
False
Ratio data is a type of categorical data.
False
Statistics and data mining both look for data sets that are as large as possible.
False
How does Hadoop work?
It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.
Which of the following would NOT be considered Master Data?
Product delivery details
Which of the following sources is likely to produce Big Data the fastest?
RFID tags
What is one major way in which Web-based social media differs from traditional publishing media?
They have different costs to own and operate.
For low latency, interactive reports, a data warehouse is preferable to Hadoop.
True
Generally, making a search engine more efficient makes it less effective.
True
Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.
True
In data mining, classification models help in prediction.
True
Interval data is a type of numerical data.
True
Many analytics tools are too complex for the average user, and this is one justification for Big Data.
True
MapReduce can be easily understood by skilled programmers due to its procedural nature.
True
Regional accents present challenges for natural language processing.
True
The term "Big Data" is relative as it depends on the size of the using organization.
True
When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach.
True
Search engine optimization (SEO) is a means by which
Web site developers can increase Web site search rankings.
In text analysis, what is a lexicon?
a catalog of words, their synonyms, and their meanings
Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?
grid computing
Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near—real time with highly accurate insights. What is this process called?
in-memory analytics
A company/organization can encounter dirty data in the form of
invalid mailing address, invalid email address format, duplicated data
Breaking up a Web page into its components to identify worthy words/terms and indexing them using a set of rules is called
parsing the documents.
All of the following statements about data mining are true EXCEPT
the process aspect means that data mining should be a one-step process to results.
The Eckerson survey of 2002 estimated the total cost (to the US yearly economy) of dirty data to be approximately:
$600 Billion USD
Data that is collected, stored, and analyzed in data mining is often private and personal. There is no way to maintain individuals' privacy other than being very careful about physical data security.
False
Decentralization, the need for specialized skills, and immediacy of output are all attributes of Web publishing when compared to industrial publishing.
False
Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance.
False
Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.
True
Current total storage capacity lags behind the digital information being generated in the world.
True
It is important for Big Data and self-service business intelligence go hand in hand to get maximum value from analytics.
True
The cost of data storage has plummeted recently, making data mining feasible for more firms.
True
All of the following statements about data mining are true EXCEPT
building the model takes the most time and effort.
Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?
classification
Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?
clustering
You are tasked with accumulating survey data on a web page and are responsible for it being free from dirty data once you close the survey and get the data to the researching team. Which is the best way to handle the possibility of dirty data?
Build a website that validates data as the survey participant takes the survey.
Big Data simplifies data governance issues, especially for global firms.
False
Big Data uses commodity hardware, which is expensive, specialized hardware that is custom built for a client or application.
False
Using data to understand customers/clients and business operations to sustain and foster growth and profitability is
an increasingly challenging task for today's enterprises.
In text mining, tokenizing is the process of
categorizing a block of text in a sentence.
What data discovery process, whereby objects are categorized into predetermined groups, is used in text mining?
classification
