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Data mining
Term Key terms bank Y12 Programming for the Web
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.
Finding patterns in large data sets.
Where it is used 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.
Related past questions
- 2025 HSC Q18 (3 marks): Big data and web architecture Programming for the Web (Part A) · 3 marks
These are the questions the flashcard set links to this term. Open each one and compare your answer with its marking criteria.
Other questions that mention it
- Familiarisation Q14 Software Automation (Part C) · 8 marks
Study links
- 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))
How to use it in an answer
A model sentence
“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
- 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)
Technique for the question types
- Short answer: One clear point per mark, use the stimulus and course terms, and answer the command word.
- Multiple choice: Read all four options, rule out wrong ones, pick one; no penalty for guessing so never leave blank.
- Fill in the blanks: Choose the right word from a list; use exact syllabus terms.
What the marking guidelines and feedback say
Marker feedback: show how metadata and data mining RELATE; address them separately; focus on technical difficulties and PREVENTION.
Worked answers from the marking guidelines
2025 HSC Q18 (3 marks): Big data and web architecture (3 marks): 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.
Common mistakes
- Use the term exactly as the syllabus words it, then link it to the scenario in the question; the 2025 feedback repeatedly rewards using the stimulus.
- Answer the command word: outline gives main points only, explain gives a reason or cause, discuss gives both sides.
Related terms
Same group in the syllabus: Big data · Metadata · Streaming service management