Storage Retrieval

Download Data Mining for Association Rules and Sequential Patterns: by Jean-Marc Adamo PDF

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By Jean-Marc Adamo

Data mining contains a wide selection of actions resembling category, clustering, similarity research, summarization, organization rule and sequential trend discovery, and so on. The booklet specializes in the final formerly indexed actions. It offers a unified presentation of algorithms for organization rule and sequential trend discovery. For either mining difficulties, the presentation depends upon the lattice constitution of the hunt area. All algorithms are equipped as tactics operating in this constitution. Proving their homes takes good thing about the mathematical houses of the constitution. a part of the incentive for scripting this e-book used to be postgraduate instructing. one of many major intentions was once to make the publication an appropriate aid for the transparent exposition of difficulties and algorithms in addition to a valid base for additional dialogue and research. because the e-book basically assumes straightforward mathematical wisdom within the domain names of lattices, combinatorial optimization, likelihood calculus, and facts, it's healthy to be used via undergraduate scholars besides. The algorithms are defined in a C-like pseudo programming language. The computations are proven in nice element. This makes the publication additionally healthy to be used by means of implementers: laptop scientists in lots of domain names in addition to engineers.

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Extra info for Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms

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4 on line 22 or 38. The function scheduleO also belongs to the interface to the ARCH scheduler. 1. 2. 3. 4. 5. 6. 7. 8. 4 via data-ptr; let thread-ptr be this pointer; thread-ptr->scheduleO; } } The argument data ytr allows the handler to get access to the data related to the UOSR function call whose completion is currently processed. 4 at the time the call was performed (lines 16 or 32). The reader is referred to the ARCH documentation for details. 4, the events related to the completion of calls to the unblocking read function can only take place while the function stopO is being performed.

4 is asynchronously processed in the routine completion_handler 32 2 - Search Space Partition-Based Rule Mining outlined below. Asynchronously means that this routine is automatically executed, in an event-driven fashion, when the completion of the call takes place. 4 keeps on executing, overlapping computation with communication. The function stopO, executed on lines 21 and 37, belongs to the ARCH library (interface function to the scheduler, see the ARCH documentation [ADA98 , 98b]). On these lines, the procedure waits for the completion of all unblocking read function calls started in the for-loop executed in the previous lines (lines 10 to 19 or 25 to 35).

DHP can be derived from Apriori by introducing additional control. To this purpose, DHP makes use of an additional hash table that aims at limiting the generation of candidates in C as much as possible. Additional information is generated in this hash table, making it possible to keep in C only those candidates that appear to be possibly a-frequent (hence the name PossFreq introduced below). DHP also progressively trims the database by discarding attributes in transactions or even by discarding entire transactions when they appear to be subsequently useless.

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