Presorting: meaning, definitions and examples
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presorting
[ priːsɔːrtɪŋ ]
data organization
Presorting refers to the process of organizing data or items into groups or categories before a further operation is performed. This technique is essential in various fields such as logistics, data processing, and information retrieval, as it enhances efficiency and accuracy. By grouping similar items together, presorting allows for smoother workflows, reduced errors, and quicker access to necessary information. Companies often use presorting methods to streamline their operations and improve service delivery.
Synonyms
categorization, prearrangement, preorganization
Examples of usage
- The presorting of mail speeds up the delivery process.
- Data presorting improved the efficiency of the database query.
- The warehouse implemented presorting of inventory items to facilitate picking.
- The presorting of ballots ensured a more organized voting process.
Translations
Translations of the word "presorting" in other languages:
🇵🇹 pré-seleção
🇮🇳 पूर्व छंटाई
🇩🇪 Vorsortierung
🇮🇩 pra-pemilahan
🇺🇦 попереднє сортування
🇵🇱 wstępna selekcja
🇯🇵 プレソーティング
🇫🇷 pré-sélection
🇪🇸 preselección
🇹🇷 ön sıralama
🇰🇷 사전 분류
🇸🇦 الفرز المسبق
🇨🇿 předvýběr
🇸🇰 predvýber
🇨🇳 预排序
🇸🇮 predsortiranje
🇮🇸 forskoðun
🇰🇿 алдын ала сұрыптау
🇬🇪 წინასწარი სორტირება
🇦🇿 öncədən seçim
🇲🇽 preselección
Etymology
The term 'presorting' is derived from the prefix 'pre-' meaning 'before' and the verb 'sort', which comes from the Latin 'sortare', meaning 'to arrange'. The concept of sorting has been utilized for centuries in various forms, particularly in agriculture and commerce where items needed to be organized for efficiency. With the advent of technology, the term gained significant usage in data management and logistics sectors. As data systems evolved, the practice of presorting became essential to enhance the performance of algorithms and to ensure that related data sets are accessed and processed together. In modern contexts, presorting is commonly applied in sorting algorithms, database management, and mail processing systems, demonstrating its importance in an increasingly data-driven world.