Built from Han, Kamber & Pei's Data Mining: Concepts and Techniques (3rd ed.), covering exactly the chapters your syllabus targets: 1–6, 8, and 10. Extra depth is loaded into Association Rule Mining (Ch. 6) and Decision Tree / Classification / Information Theory / Entropy (Ch. 8) — the announced Theory‑1 topics.
Chapter-by-chapter summaries — definitions, formulas, and worked examples for Ch 1–6, 8, 10.
2. Theory Bank (45 min) 🔥Full worked model answers for Association Rule Mining and Decision Tree / Entropy / Information Gain — the flagged Theory‑1 areas — plus one theory question per other chapter.
3. Flashcards (30 min)120+ cards drilling definitions, formulas and algorithm steps until your "Know it" pile is full.
4. Quiz practice (30 min)MCQs with instant explanations, filterable by chapter.
5. CBT Simulation (final run)Timed, exam-style mixed paper across all 8 chapters.
Tap a chapter, then a section, to expand. Key lists are boxed; worked examples from the text are highlighted.
Full worked model answers. Association Rule Mining and Decision Tree / Classification / Information Theory / Entropy are the announced "Theory 1" areas — they're covered in depth with multiple worked variants. One or two representative theory questions are included for every other chapter too.
Full formula & definition cheat sheet — the facts most likely to be tested directly.