2.ĭesign similarity measures for the contexts of two patterns, and for a transaction and a pattern context. Select context units and design a strength weight for each unit to model the contexts of frequent patterns. Let's examine an example.īased on these concepts, we can define the basic task of semantic pattern annotation as follows: 1. Annotations with such information are analogous to dictionary entries, which can be regarded as annotating each term with structured semantic information. In general, the hidden meaning of a pattern can be inferred from patterns with similar meanings, data objects co-occurring with it, and transactions in which the pattern appears.
#Meaning of annotate how to
Nevertheless, we can explore how to approximate such a process for frequent pattern mining. Unfortunately, it is infeasible to provide such precise semantic definitions for patterns without expertise in the domain. Synonyms from a thesaurus, such as “model, archetype, design, exemplar, motif, ….”Īnalogically, what if we could extract similar types of semantic information and provide such structured annotations for frequent patterns? This would greatly help users in interpreting the meaning of patterns and in deciding on how or whether to further explore them. a natural or chance configuration” 2.Įxample sentences, such as “ patterns of frost on the window the behavior patterns of teenagers, …” 3. A dictionary typically contains the following components to explain the term: 1.Ī set of definitions, such as “a decorative design, as for wallpaper, china, or textile fabrics, etc. Suppose we are looking up the term pattern. “ What is an appropriate semantic annotation for a frequent pattern?” Think about what we find when we look up the meaning of terms in a dictionary.
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