5.2.13
Analysing Personal Information
Analysing Personal Information
Analysing Personal Information
Companies increasingly value personal data for its ability to reveal insights about behaviour. The practice raises ethical concerns regarding privacy and transparency.
Data mining
Data mining
- In recent years, companies have recognised the immense value of personal data.
- Companies use large datasets such as big data to analyse and make inferences about individual behaviours, preferences, and trends.
- Using large datasets to make inferences about individuals is known as data mining.
- Data mining is employed for various purposes, including targeted advertising or personalised political campaigns.
Ethical concerns
Ethical concerns
- Analysing personal information can enhance user experiences and business strategies.
- Analysing personal information also raises significant ethical concerns.
- Especially when data is used in ways that may disadvantage individuals.
- For example, when data is used to influence insurance decisions based on health risk predictions.
Privacy & transparency
Privacy & transparency
- The collection and analysis of personal data have sparked debates about privacy.
- The debates highlighted the need for transparency from companies.
- Businesses are legally required to disclose what data they collect.
- Nonetheless, users often remain unaware of the extent and purpose of a business's data gathering.
GDPR
GDPR
- Growing pressure on companies to be more transparent has led to regulatory measures.
- The General Data Protection Regulation (GDPR) was enforced in 2018.
- GDPR aims to protect user rights and ensure clearer communication about data usage.
1Components of a Computer
1.1Structure & Function of the Processor
1.2Types of Processors
1.3Input, Output & Storage
1.3.1Elements of Computer Systems
1.3.2Types of Computer Systems
1.3.3How Magnetic Storage Works
1.3.4Properties of Magnetic Storage
1.3.5Examples of Magnetic Storage
1.3.6How Optical Storage Works
1.3.7Properties of Optical Storage
1.3.8Examples of Optical Storage
1.3.9Types of Optical Disc
1.3.10Random Access Memory
1.3.11Read Only Memory
1.3.12Uses of Flash Memory
1.3.13Properties of Flash Memory
1.3.14What to do When We Run Out of Memory
1.3.15How Virtual Memory Works
2Software & Software Development
2.1Systems Software
2.2Applications Generation
2.2.1Applications Software
2.2.2Utilities
2.2.3Encryption Software
2.2.4Defragmentation Software
2.2.5Data Compression Software
2.2.6Backup Software
2.2.7Open Source Software
2.2.8Proprietary Software
2.2.9Licensing Issues
2.2.10Compilers
2.2.11Interpreters
2.2.12Assemblers
2.2.13Compiling a Program
2.2.14Lexical Analysis
2.2.15Compilation Stages
2.2.16Linkers, Loaders & Libraries
2.3Software Development
2.3.1Algorithmic Thinking
2.3.2Waterfall Lifecycle
2.3.3Waterfall Lifecycle - Strengths & Weaknesses
2.3.4Agile Methodology
2.3.5Agile Methodology - Strengths & Weaknesses
2.3.6Extreme Programming
2.3.7Extreme Programming - Strengths & Weaknesses
2.3.8Spiral Methodology
2.3.9Spiral Methodology - Strengths & Weaknesses
2.3.10Rapid Application Development
2.3.11RAD - Strengths & Weaknesse
2.4Types of Programming Language
3Exchanging Data
3.1Compression, Encryption & Hashing
3.2Databases
3.3Networks
3.3.1The Benefits of Networks
3.3.2Network Performance
3.3.3Types of Networks
3.3.4Network Protocols
3.3.5Transmission Protocols
3.3.6What is the Internet?
3.3.7Uniform Resource Locators
3.3.8Domain Name Service
3.3.9Web Hosting
3.3.10Layering Concepts
3.3.11TCP &. OSI Models
3.3.12The Advantages of Layering
3.3.13What's in a Packet?
3.3.14How do Packets get Routed?
3.3.15Did my Data Arrive Safely?
3.3.16Network Hardware
3.3.17Transmission Media
3.3.18Firewalls
3.3.19Proxies
3.3.20Client-Server Model
3.3.21Advantages of the Client Server Model
3.3.22Disadvantages of the Client Server Model
3.3.23Peer-to-Peer Model
3.3.24Advantages of the Peer-to-Peer Model
3.3.25Disadvantages of the Peer-to-Peer Model
4Data Types, Data Structures & Algorithms
4.1Data Types
4.1.1Data Types
4.1.2Casting
4.1.3Arrays
4.1.42D Arrays
4.1.5Strings
4.1.6Binary
4.1.7Sign & Magnitude
4.1.8Binary Addition
4.1.9Binary Shifts
4.1.10Hexadecimal
4.1.11Using Hexadecimal
4.1.12Converting Binary & Hexadecimal
4.1.13Converting Denary & Hexadecimal
4.1.14Floating Points in Binary
4.1.15Normalisation of Floating Points
4.1.16Floating Point Addition
4.1.17Floating Point Subtraction
4.1.18Bitwise Manipulation - Shifts
4.1.19Bitwise Manipulation - Masks
4.1.20Character Sets
4.1.21ASCII
4.1.22Unicode
4.2Data Structures
5Legal, Moral, Cultural & Ethical Issues
5.1Computing Related Legislation
5.2Moral & Ethical Issues
5.2.1Online Activity Tracking
5.2.2Censorship
5.2.3Positive Cultural Impacts
5.2.4Negative Cultural Impacts
5.2.5E-Waste
5.2.6Energy Consumption
5.2.7Positive Environmental Impact
5.2.8Layout, Colour Paradigms & Character Sets
5.2.9Computers in the Workplace
5.2.10Automated Decision-Making
5.2.11Artificial Intelligence
5.2.12Monitoring Behaviour
5.2.13Analysing Personal Information
5.2.14Piracy & Offensive Communication
6Elements of Computational Thinking
6.1Thinking Abstractly
6.2Thinking Ahead
6.3Thinking Procedurally
6.4Thinking Logically
6.5Thinking Concurrently
7Problem Solving & Programming
7.1Programming Techniques
7.2Programming Construction
Jump to other topics
1Components of a Computer
1.1Structure & Function of the Processor
1.2Types of Processors
1.3Input, Output & Storage
1.3.1Elements of Computer Systems
1.3.2Types of Computer Systems
1.3.3How Magnetic Storage Works
1.3.4Properties of Magnetic Storage
1.3.5Examples of Magnetic Storage
1.3.6How Optical Storage Works
1.3.7Properties of Optical Storage
1.3.8Examples of Optical Storage
1.3.9Types of Optical Disc
1.3.10Random Access Memory
1.3.11Read Only Memory
1.3.12Uses of Flash Memory
1.3.13Properties of Flash Memory
1.3.14What to do When We Run Out of Memory
1.3.15How Virtual Memory Works
2Software & Software Development
2.1Systems Software
2.2Applications Generation
2.2.1Applications Software
2.2.2Utilities
2.2.3Encryption Software
2.2.4Defragmentation Software
2.2.5Data Compression Software
2.2.6Backup Software
2.2.7Open Source Software
2.2.8Proprietary Software
2.2.9Licensing Issues
2.2.10Compilers
2.2.11Interpreters
2.2.12Assemblers
2.2.13Compiling a Program
2.2.14Lexical Analysis
2.2.15Compilation Stages
2.2.16Linkers, Loaders & Libraries
2.3Software Development
2.3.1Algorithmic Thinking
2.3.2Waterfall Lifecycle
2.3.3Waterfall Lifecycle - Strengths & Weaknesses
2.3.4Agile Methodology
2.3.5Agile Methodology - Strengths & Weaknesses
2.3.6Extreme Programming
2.3.7Extreme Programming - Strengths & Weaknesses
2.3.8Spiral Methodology
2.3.9Spiral Methodology - Strengths & Weaknesses
2.3.10Rapid Application Development
2.3.11RAD - Strengths & Weaknesse
2.4Types of Programming Language
3Exchanging Data
3.1Compression, Encryption & Hashing
3.2Databases
3.3Networks
3.3.1The Benefits of Networks
3.3.2Network Performance
3.3.3Types of Networks
3.3.4Network Protocols
3.3.5Transmission Protocols
3.3.6What is the Internet?
3.3.7Uniform Resource Locators
3.3.8Domain Name Service
3.3.9Web Hosting
3.3.10Layering Concepts
3.3.11TCP &. OSI Models
3.3.12The Advantages of Layering
3.3.13What's in a Packet?
3.3.14How do Packets get Routed?
3.3.15Did my Data Arrive Safely?
3.3.16Network Hardware
3.3.17Transmission Media
3.3.18Firewalls
3.3.19Proxies
3.3.20Client-Server Model
3.3.21Advantages of the Client Server Model
3.3.22Disadvantages of the Client Server Model
3.3.23Peer-to-Peer Model
3.3.24Advantages of the Peer-to-Peer Model
3.3.25Disadvantages of the Peer-to-Peer Model
4Data Types, Data Structures & Algorithms
4.1Data Types
4.1.1Data Types
4.1.2Casting
4.1.3Arrays
4.1.42D Arrays
4.1.5Strings
4.1.6Binary
4.1.7Sign & Magnitude
4.1.8Binary Addition
4.1.9Binary Shifts
4.1.10Hexadecimal
4.1.11Using Hexadecimal
4.1.12Converting Binary & Hexadecimal
4.1.13Converting Denary & Hexadecimal
4.1.14Floating Points in Binary
4.1.15Normalisation of Floating Points
4.1.16Floating Point Addition
4.1.17Floating Point Subtraction
4.1.18Bitwise Manipulation - Shifts
4.1.19Bitwise Manipulation - Masks
4.1.20Character Sets
4.1.21ASCII
4.1.22Unicode
4.2Data Structures
5Legal, Moral, Cultural & Ethical Issues
5.1Computing Related Legislation
5.2Moral & Ethical Issues
5.2.1Online Activity Tracking
5.2.2Censorship
5.2.3Positive Cultural Impacts
5.2.4Negative Cultural Impacts
5.2.5E-Waste
5.2.6Energy Consumption
5.2.7Positive Environmental Impact
5.2.8Layout, Colour Paradigms & Character Sets
5.2.9Computers in the Workplace
5.2.10Automated Decision-Making
5.2.11Artificial Intelligence
5.2.12Monitoring Behaviour
5.2.13Analysing Personal Information
5.2.14Piracy & Offensive Communication
6Elements of Computational Thinking
6.1Thinking Abstractly
6.2Thinking Ahead
6.3Thinking Procedurally
6.4Thinking Logically
6.5Thinking Concurrently
7Problem Solving & Programming
7.1Programming Techniques
7.2Programming Construction
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