3. Given supermarket customer sequences. Using the AprioriAll algorithm, find length-k sequential patterns. <{1, 8} {2} {3} {4} > <{1} {3} {4} {3, 8}> <{1} {2} {3} {4}> <{1} {3} {8}> <{4} {8}>

Q: hat are the challenges of assembling NGS read data?

A: Assembling NGS (Next Generation Sequencing) read data can be challenging due to several factors,…

Q: ctured and unst

A: Differentiate between structured and unstructured data

Q: Big data technology uses a wide range of data structures and algorithms, and these structures and…

A: Big Data Technology: Big data analyses, separates, and manages data sets that are too large or…

Q: R software may be used to examine real-world data.

A: R programme is used for statistical analysis. R Language is being used to analyze real-world data.…

Q: Data mining is a method for gathering and analyzing business information.

A: Given: Data mining is a method for gathering and analyzing business information.

Q: Explain the challenges of storing and managing big data

A: The objective of this question is to understand the challenges that are associated with storing and…

Q: xplain the meaning and the  process of Data Preparation

A: Given To know about the Data preparation.

Q: Suggestions for successfully describing data include its core properties and components

A: Data research is the process of obtaining, demonstrating, and dissecting data to extract pieces of…

Q: Define the roles of data administration

A: the answer is given below:-

Q: Big Data: What is the common purpose of pig and hive

A: To be determine: What is the common purpose of pig and hive

Q: Explain the concept of distributed data warehousing and its role in decision support systems.…

A: Distributed data warehousing is an approach to managing data that involves storing and managing data…

Q: Data mining may be used to develop corporate intelligence and its applications.

A: Data mining is a process of extracting useful patterns and information from large datasets. It…

Q: Explain the challenges of storing and managing big data

A: The objective of the question is to understand the challenges that are faced while storing and…

Q: What is the relationship between data, information

A: Data: It is an assortment of values. Those values can be characters, numbers, or some other type.…

Q: Define the term "data modeling" and differentiate between conceptual, logical, and physical data…

A: Data modeling plays a role, in the realms of database management and software engineering.It…

Q: There are three methods of data mining that are most often used.

A: Data mining: Gaining information from enormous data stores is called "data mining," and the phrase…

Q: What are the characteristics of data mining

A: Data mining is a process that involves extracting valuable patterns, information, and knowledge from…

Q: Data analysis and storage on the cloud has several advantages.

A: Introduction: The following are the advantages of storing data, apps, and services in the cloud.

Q: Big data technology uses a wide range of data structures and algorithms, and these structures and…

A: Given: Big data is a discipline that develops methods for examining, separating data from, or…

Q: List the steps of the data science cycle:

A: Introduction : Data Science Lifecycle is centered on the application of machine learning and various…

Q: What is Data manipulation language (DML)?

A: DML - Data Manipulation language it is kind of computing language which include command permitting…

Q: Distinguish organized from unstructured

A: Organised data follows a structured pattern to store the data Unstructured data stores in random…

Q: e between the three data modeling tie

A: the solution is an given below :

Q: Explain the Data Mining Process

A: Data Mining Data mining is the process of extracting knowledge and interesting patterns from vast…

Q: Compare and contrast data mining, machine learning and artificial intelligence

A: Data mining:  The objective of data mining is to find beforehand concealed examples and connections…

Q: The benefits of data profiling can be summed up in the following ways:

A: Data analysis to find patterns, trends, and linkages is called data profiling. It can be applied to…

Q: Contrast the terms structured data; unstructured data

A: The contrast between structured data and unstructured data is given below:-

Q: In the data science process which step takes the longest time to complete?

A: Answer : -   Explore and data cleaning

Q: Explain the challenges of storing and managing big data

A: The objective of the question is to understand the challenges that are faced while storing and…

Q: Explain data structure of big data.

A: Big Data is a collection of data that is enormous in volume and is always expanding exponentially.No…

Q: Distinguish between organised and unorganised data

A: Establish a distinction between organised and unstructured data.Structured data is highly particular…

Q: Data mining is a technique used to collect and analyze corporate data.

A: Data mining is uncovering patterns and correlations in large data sets. In the corporate world, it…

Q: Data mining is a way to get and look at business information.

A: Data mining is nothing but a process which removes the useless data and turns the raw data into some…

Q: Explain the concepts of data warehousing and data mining.

A: Introduction: Data warehousing is the process of storing data pertaining to a company's business…

Q: Describe the steps that are involved in the data processing process.

A: Answer: Data procession process is the method to collect the raw data and translate the meaningful…

Q: Differentiate between the three data modeling tiers.

A: Introduction: Entity relationship diagram (ER Diagram) diagrams are used to depict the data…

Q: benefits of using spreadsheet solutions  and how easy it is to process data to derive information

A: Spreadsheet Solution: It is an option in spreadsheet which holds some basic predefined templates…