Management Information Systems Chapter 6

False (B)

Ease of use of browser software

<p>text mining</p> Signup and view all the answers

<p>Web content mining = Analyzing data from web pages Web structure mining = Discovering relationships between web elements Web usage mining = Understanding user behavior on websites Text mining = Extracting information from unstructured text</p> Signup and view all the answers

<p>Instant data access (A)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>A group of related files.</p> Signup and view all the answers

<p>file</p> Signup and view all the answers

<p>Program-data independence (D)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>A person, place, or thing on which information is stored.</p> Signup and view all the answers

<p>File = Group of records of the same type Record = Group of related fields Field = Group of characters as word(s) or number(s) Attribute = Each characteristic describing an entity</p> Signup and view all the answers

<p>To provide an interface between applications and physical data files (B)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>Streamlining complex data groupings to minimize redundancy.</p> Signup and view all the answers

<p>table</p> Signup and view all the answers

<p>Primary Key = Field used to uniquely identify each record Foreign Key = Primary key used in another table Data Dictionary = Metadata about the database Referential Integrity = Ensures consistency of relationships between tables</p> Signup and view all the answers

<p>Volumes too great for typical DBMS (C)</p> Signup and view all the answers

<p>Creates data independently of data files (A)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Distributed parallel processing of big data.</p> Signup and view all the answers

<p>Structured Query Language (SQL)</p> Signup and view all the answers

<p>Improves processing speed by reducing retrieval delays (D)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Hadoop Distributed File System (HDFS)</p> Signup and view all the answers

<p>Data mart = Subset of data warehouse Hadoop = Distributed processing framework for big data Data warehouse = Stores current and historical data In-memory computing = Fast data processing using RAM</p> Signup and view all the answers

<p>Online Analytical Processing</p> Signup and view all the answers

<p>patterns</p> Signup and view all the answers

<p>SQL Database (D)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>OLAP = Supports multidimensional data analysis Data mining = Finds hidden patterns in datasets Text mining = Extracts insights from text data Web mining = Analyzes data from web sources</p> Signup and view all the answers

<p>Customer buying patterns (B)</p> Signup and view all the answers

<p>Provides analysis and reporting tools.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Associations, Sequences, Classification, Clustering, Forecasting</p> Signup and view all the answers

A collection of related files that store data.

A group of records of the same type, like all customer records.

A set of related fields about one entity, like all details about one customer.

A single piece of information or attribute of an entity, such as a name or a number.

An object or concept about which data is stored, such as customers, products, etc.

A characteristic describing an entity, like a customer's age or address.

The unnecessary duplication of data across files, leading to wasted space.

Discrepancies in data arising from different files; leads to unreliable information.

Massive sets of unstructured/semi-structured data from sources like web traffic and social media.

Refers to data sizes like petabytes or exabytes which exceed typical DBMS capabilities.

A central repository for current and historical data from various operational systems, standardized for enterprise use.

A subset of a data warehouse that focuses on a specific subject or business line.

An open-source framework for storing and processing big data using distributed systems.

The storage component of Hadoop that manages data storage across a cluster of computers.

A programming model in Hadoop that processes large data sets by breaking them into smaller clusters.

A technology that stores data in the main memory (RAM) for quicker data access and processing.

Extracting key elements from large unstructured text data sets.

Discovery and analysis of patterns and information from the web.

Extracting useful information from web content like text and images.

Analyzing the structure of websites to understand relationships.

Analyzing user interactions on websites to identify patterns.

High-speed platforms utilizing relational and non-relational tools for analyzing large datasets.

Supports viewing data from multiple aspects like product, pricing, and time.

The process of discovering hidden patterns and relationships in large datasets.

Identifies relationships between variables in datasets, like customer behaviors.

Categorizes data into predefined classes based on attributes.

Groups similar items together in datasets without predefined labels.

Uses patterns from historical data to predict future outcomes.

Software that interfaces between applications and physical data files, managing data organization.

Stores data in two-dimensional tables with rows and columns for entities and attributes.

A unique identifier for each record in a table.

A field in one table that links to the primary key in another table.

The process of organizing data to minimize redundancy and avoid awkward relationships.

Rules ensuring relationships between tables in a database remain consistent.

A language used for querying and manipulating data in a DBMS.