User:Hacksasaur/Data mining/Yaman Shqeirat Peer Review

Clarity and Structure:


 * The text should be easy to read and understand. It's formatted in a way that separates ideas into their own paragraphs, which aids comprehension.
 * The structure follows a logical flow: it starts by introducing the problem (complexity of data in construction), moves to the solution (data mining), and then discusses applications and benefits.S
 * The language is formal and appropriate for an encyclopedia entry. However, ensure that the terms used are accessible to readers who may not have a technical background.

Accuracy and Veracity:


 * The facts presented must be correct and verifiable through the provided references.
 * Ensure that any claim made is backed up by the sources. If the sources don’t explicitly support the claims, they need to be modified or removed to maintain accuracy.

Objectivity and Neutrality:


 * Wikipedia values a neutral point of view. The draft should represent all significant viewpoints that have been published by reliable sources.
 * Avoid any language that could be seen as promotional or biased. Phrases like "indispensable tool" could be seen as non-neutral unless directly supported by a source.

Relevance and Notability:


 * Content added to Wikipedia should reflect the notability of the subject. The importance of data mining in construction should be established through the context provided by reliable sources.
 * While the draft is relevant to the topic, ensure that it does not stray too far from the central subject of data mining.

Integration into Wikipedia:


 * Check if the content can be linked to other Wikipedia pages, which can help integrate it into the larger framework of the encyclopedia.
 * Cross-reference related articles and ensure that similar content does not already exist elsewhere in Wikipedia to avoid duplication.

Citations and References:


 * All the sources are cited in a standard format, which is good. However, ensure that in-text citations are provided after each factual claim.
 * Verify the publication dates and page numbers to ensure they direct readers to the correct information.

Suggestions for Improvement:


 * 1) Consider providing specific examples of data mining applications in construction to illustrate the points made.
 * 2) Include potential limitations or challenges of data mining in this sector to give a balanced view.
 * 3) Integrate internal Wikipedia links to related articles (e.g., link to articles about "predictive models," "cost estimation," or "safety regulations" in construction).

Conclusion:

The draft is well-written with clear applications of data mining in construction. It requires minor adjustments for neutrality and possibly expanding on certain points for clarity and depth. Cross-referencing the material within the existing structure of Wikipedia is necessary for a cohesive final contribution.

General info
(provide username)
 * Whose work are you reviewing?


 * Link to draft you're reviewing:
 * Link to the current version of the article (if it exists):

Evaluate the drafted changes
(Compose a detailed peer review here, considering each of the key aspects listed above if it is relevant. Consider the guiding questions, and check out the examples of what feedback looks like.)