<prompt> Bolela mekhoa e meli ea merafo ea data.nan  <response>: Instruction in English: Name two data mining techniques. . Response in English: Two data mining techniques are: 1. Association Rule Learning: This technique is used for finding relations and relationships between various variables in a large dataset. It is most commonly used for market basket analysis, where the aim is to find associations between products purchased together and is often used by retailers to improve their strategies. 2. Cluster Analysis: This is a technique used for grouping similar data points within a large dataset. The main objective of cluster analysis is to identify patterns in data with the aim of partitioning them into various groups. It is commonly used in segmentation, anomaly detection, and recommendation systems. . Response in Sesotho: Mekhoa e meli ea merafo ea data ke: 1. Thuto ea Melao ea Mokhatlo: Mokhoa ona o sebelisetsoa ho fumana likamano le likamano pakeng tsa mefuta e sa tšoaneng ea dataset e kholo. Hangata e sebelisoa bakeng sa tlhahlobo ea baskete ea maraka, moo sepheo e leng ho fumana likamano pakeng tsa lihlahisoa tse rekiloeng hammoho me hangata li sebelisoa ke barekisi ho ntlafatsa maano a bona. 2. Tlhahlobo ea Sehlopha: Ena ke mokhoa o sebelisoang ho hlophisa lintlha tse tšoanang tsa data ka hara dataset e kholo. Sepheo se seholo sa tlhahlobo ea lihlopha ke ho khetholla lipaterone tsa data ka sepheo sa ho li arola ka lihlopha tse fapaneng. E sebelisoa hangata ho arola likarolo, ho lemoha ka mokhoa o sa tloaelehang, le litsamaiso tsa likhothaletso. 