science

Java Data Mining

Java Data Mining is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Java Data Mining rather than just read about it. In short: Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes.

Key takeaways

Java Data Mining belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Java Data Mining to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Java Data Mining from memory before moving on to harder problems.

Reference excerpt

Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing predictive analytics applications and tools. The JDM 1.0 standard was developed under the Java Community Process as JSR 73. In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization. Various data mining functions and techniques like statistical classification and association, regression analysis, data clustering, and attribute importance are covered by the 1.0 release of this standard. It never received wide acceptance, and there is no known implementation.

See also Predictive Model Markup Language

Books Java Data Mining: Strategy, Standard, and Practice, Hornick, Marcadé, Venkayala, ISBN 0-12-370452-9

References

Worked examples

Example 1 — a first encounter with Java Data Mining

Start with the simplest possible case. Write down what Java Data Mining claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Java Data Mining before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Java Data Mining ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Java Data Mining

In research: Java Data Mining appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Java Data Mining in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Java Data Mining is common in secondary-school and first-year university syllabi. It links to neighbouring topics Applied data mining, Java specification requests, Programming language topic stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Java Data Mining outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Java Data Mining in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Java Data Mining means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Java Data Mining out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Java Data Mining in simple terms?

Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes.

Why does Java Data Mining matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Java Data Mining?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Java Data Mining.