
SEGMENTATION中文 (简体)翻译:剑桥词典
Image segmentation is one of the most important steps leading to the analysis of processed image data. Sentence segmentation was performed manually before the study was performed. The rules for word …
segmentation是什么意思_segmentation的翻译_音标_读音_用法_例句…
Market Segmentation is an important step in STP and Customer Relationship Management. 市场细分是企业实施目标市场营销以及客户关系管理中十分重要的一步.
segmentation - 搜索 词典
3. To achieve sharing in a segmentation system, it is possible for a segment to be referenced in the segment tables of more than one process.
SEGMENTATION 释义 | 柯林斯英语词典 - Collins Online Dictionary
Segmentation is the dividing of something into parts which are loosely connected.
SEGMENTATION Definition & Meaning - Merriam-Webster
The meaning of SEGMENTATION is the process of dividing into segments; especially : the formation of many cells from a single cell (as in a developing egg). How to use segmentation in a sentence.
SEGMENTATION在剑桥英语词典中的解释及翻译
The segmentation involves the differentiation of the aspects associated with motion, which could not be accounted for by updating a few variables of object profile.
SEGMENTATION在劍橋英語詞典中的解釋及翻譯
Image segmentation is one of the most important steps leading to the analysis of processed image data. Sentence segmentation was performed manually before the study was performed. The rules for word …
Understanding Market Segmentation: A Comprehensive Guide
Dec 21, 2025 · Market segmentation is a strategy in which businesses categorize potential customers into distinct groups based on shared characteristics such as demographics, behaviors, geography, or...
Market segmentation - Wikipedia
In marketing, market segmentation or customer segmentation is the process of dividing a consumer or business market into meaningful sub-groups of current or potential customers (or consumers) known …
What Is Market Segmentation? How It Works, Careers, and More
Dec 8, 2025 · Market segmentation is when a business splits potential customers into groups based on shared characteristics. These characteristics include location, age, income, credit rating, usage …