![]() ![]() ![]() This can help to extract keywords, topics, or sentiments from text documents. Text mining: Association data mining techniques can be used to analyze text data and find patterns of words or phrases that are frequently co-occurring. This can help to discover biological functions, pathways, and interactions. This can help to improve web design, navigation, and personalization.īioinformatics: Association data mining techniques can be used to analyze biological data and find patterns of genes, proteins, or diseases that are frequently associated. Web usage: Association data mining techniques can be used to analyze web logs and find patterns of pages that are frequently visited together. This can help to recommend products, create bundles, and design promotions. For example, a pattern tracking algorithm can diagnose that a patient has diabetes based on their blood sugar level, weight, and family history.Į-commerce: Association data mining techniques can be used to analyze customer purchase behavior and find patterns of items that are frequently bought together. For example, a pattern-tracking algorithm can recognize that a video clip contains a news report with a title, a speaker, and a background image.Īutomatic medical diagnosis: This is a technique to identify patterns of symptoms, signs, and test results that indicate a certain disease or condition. Multimedia document recognition: This is a technique to identify patterns of text, images, audio, and video that form a coherent document or message. For example, a pattern tracking algorithm can recognize that the sound “h-e-l-l-o” represents the word “hello”. Speech recognition: This is a technique to identify patterns of sounds that correspond to words or phrases in a spoken language. For example, a pattern tracking algorithm can discover that customers who buy bread also tend to buy butter and jam. Market basket analysis: This is a technique to identify patterns of items that are frequently purchased together by customers in a retail store. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |