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Item 256 of 426 · Year 12: Programming for the Web, 22 of 59

Data mining

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Definition

Analysing large data sets to find patterns, trends and relationships (for example recommending shows).

Example: Mine viewing history to predict demand.

Found in: syllabus, 2025 HSC marking guidelines, sample exam and familiarisation guidelines, school notes.

Short version to memorise (key terms bank)

Finding patterns in large data sets.

Where you'll use it in the test

Syllabus area: Y12 Programming for the Web.

Question types it can appear in

Short answer: Explain how metadata and data mining relate (2025 Q18)
Multiple choice: Pick the option that matches the definition or example.
Fill in the blanks: Choose this term to complete a statement or table.

Where it has appeared in the paper

Programming for the Web (Part A). Part letters follow each paper’s own layout.

How to use it

A model sentence

General advice, built from the definition and example above

“Analysing large data sets to find patterns, trends and relationships (for example recommending shows).” Then apply it: Mine viewing history to predict demand.

In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.

Command words used with it

From the linked past questions

Explain: Relate cause and effect; make the relationship between things evident; provide why and/or how. (2025 HSC Q18 (3 marks): Big data and web architecture)

Official worked answer

2025 HSC Q18 (3 marks): Big data and web architecture (3 marks): official criteria and sample answer

Criteria

3: Explains how metadata and data mining can be used to prevent technical difficulties during the broadcast. 2: Outlines how metadata AND/OR data mining can be used. 1: Identifies a feature of metadata or data mining.

Sample answer

Metadata describes the content, structure and meaning of raw data, enabling more effective, accurate and efficient data mining. Data mining identifies user preferences and viewing patterns from large datasets, helping streaming services personalise recommendations and identify times of predicted high demand. Streaming service management uses this along with real-time user data to balance server loads and deliver smooth playback experiences.

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Go deeper

Flashcard: Data mining in Programming for the Web (Year 12) · study that set
Memorise: Effect of big data on web architecture: data mining, metadata, streaming
Key terms bank entry: Data mining
Master answer: hsc2025-q18 (3 marks, short answer (explain)) (Master model answers: Programming for the Web)
Notes: Effect of big data on web architecture: data mining, metadata, streaming (Programming for the Web (Year 12))
Notes: Investigate the effect of big data on web architecture, including data mining, metadata,… (Programming for the Web (Year 12))
Full term page: every question, note and marking comment for Data mining

Check yourself

Explain “Data mining” in one sentence, give an example, and name a question type that could test it.

Reveal the answer

Analysing large data sets to find patterns, trends and relationships (for example recommending shows).

Example: Mine viewing history to predict demand.

Could be tested as: Short answer, Multiple choice, Fill in the blanks.

Quick multiple choice

Data mining is:

Encrypting data for storage
Copying data between servers
Analysing large data sets to discover patterns and relationships
Deleting old data from a database

Show the answer

Data mining extracts patterns (e.g. buying habits) from big data using statistics and machine learning.

Source: original (written for this study pack; not a NESA question). Open it in the multiple-choice bank.