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PlanMine - Mathematical software - swMATH

PlanMine: Prediction plan failures using sequence mining. This paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data mining algorithms were overwhelmed by the staggering number of very frequent, but entirely unpredictive patterns that exist in the plan .

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PlanMine | LabWorm

PlanMine provides an easily accessible platform for sharing, comparing and value-added mining of planarian sequence data and catalyzes the comparative analysis of the phenotypic diversity amongst planarian species. Discussion Ask a question or post a review. Login to comment 35 upvotes. 1 collections. 38 views. 0 citations. 3,562 traffic. Show more. Associated keywords Planarians. .

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Application of Computational Methods in Planaria Research ...

Text mining tools InterMine and PlanMine designed with automated pipelines, are enabling effective easy access, mining and analysis of Planarian transcriptome sequence data and functions to understand their diversity and interspecies relationships .

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PLANMINE: Sequence Mining for Plan Failures

PLANMINE: Sequence Mining for Plan Failures Mohammed J. Zaki, Neal Lesh, and Mitsunori Ogihara Computer Science Department, University of Rochester, Rochester NY 14627 f zaki,lesh,ogihara g @cs.rochester.edu Abstract This paper presents the PLANMINE sequence mining algo-rithm to extract patterns of events that predict failures in

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Mining Stream, Time-Series, and Sequence Data

mining object, spatial, multimedia, text, and Web data. Research into such mining is fast evolving. Our discussion provides a broad introduction. We expect that many new books dedicated to the mining of complex kinds of data will become available in the future. As this chapter focuses on the mining of stream data, time-series data, and sequence

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PlanMine - a mineable resource of planarian biology and ...

Consistent annotation of all transcriptomes by an automated pipeline, the integration of published gene expression information and inter-relational query tools provide opportunities for mining planarian gene sequences and functions. For inter-species comparisons, we include transcriptomes of, so far, six planarian species, along with images, expert-curated information on their biology and pre ...

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Planmine: Predicting plan failures using sequence mining

This paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data miningalgorithms were overwhelmed by the staggering

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PlanMine 3.0—improvements to a mineable resource of ...

2018-11-28 · Link-outs provide facile access to more data display and mining tools provided by the respective labs. Overall, the intuitive visualization of the expression data provides a crucial new dimension of fully mineable transcript annotations and furthers the original PlanMine mission of working with collaborators and contributors to provide one-stop access to disparate datasets. Figure 3. Open in ...

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What Is Sequence Mining? (with pictures) - .

20.06.2020 · Sequence mining is a type of structured data mining in which the database and administrator look for sequences or trends in the data. This data mining is split into two fields. Itemset sequence mining typically is used in marketing, and string sequence mining is used in biology research. Sequence mining is different from regular trend mining, because the data are more .

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An Introduction to Sequential Rule Mining - The .

So, sequential rule mining is one task that you could call sequence mining, but there are also other tasks. Besides, some people will also discover patterns in 1 sequence, while other will find patterns that are common to multiple sequences. There are in fact many variations of these tasks.

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Introduction au Sequence Mining - Quantmetry

Le sequence labeling est une forme de sequence mining qui consiste à associer à chaque élément d'une séquence un label à partir d'une liste de labels définies a priori. Le principal cas d'application de cette méthode se trouve dans le Natural Language Processing (NLP) lorsque l'on cherche à caractériser le rôle de chaque mot dans une phrase.

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(PDF) PlanMine: Sequence Mining for Plan Failures ...

This paper presents the P LANMINE sequence mining algo- rithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data mining algorithms were overwhelmed by the staggering

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Mathematical software - swMATH

SeqLog; Referenced in 13 articles logical language, SeqLog, for mining and querying sequential data and databases is presented. In SeqLog ... data takes the form of a sequence of logical atoms, background knowledge can be specified ... representation language for the inductive database mining system MineSeqLog. Inductive queries in MineSeqLog take...

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(PDF) PLANMINE: Sequence mining for plan failures ...

This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data mining algorithms were overwhelmed by the staggering

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PlanMine UserGuide

2 What is PlanMine? PlanMine is a database for mining flatworm genomes and transcriptomes. We host transcriptomes and the genome of the planarian model species S. mediterranea, as well as transcriptomes of "wild" planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. You can search PlanMine by sequence (using our BLAST query) or by .

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PlanMine – a mineable resource of planarian .

17.11.2015 · The availability of these data in PlanMine (Figure 5D) permits mining operations aimed at identifying Dlac head specification genes and, in conjunction with the expression dynamics of orthologous Smed contigs, possibly general planarian head specification genes. Overall, PlanMine allows inter-species comparisons at the sequence level.

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PlanMine: Predicting Plan Failures Using .

This paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data miningalgorithms were overwhelmed by the staggering number of very frequent,but entirely unpredictive patterns that exist in the plan database.This paper combines several techniques for pruning out ...

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Mathematical software - swMATH

SeqLog; Referenced in 13 articles logical language, SeqLog, for mining and querying sequential data and databases is presented. In SeqLog ... data takes the form of a sequence of logical atoms, background knowledge can be specified ... representation language for the inductive database mining system MineSeqLog. Inductive queries in MineSeqLog take...

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PlanMine - omicX

Aims to provide an easily accessible and minable repository of general planarian sequence data. Our dual mission objective is to first, provide opportunities for comparing and mining planarian transcriptomes and RNA-Seq data sets created across the community; second, to catalyze the comparative analysis of the phenotypic diversity amongst planarian species.

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PLANMINE: Sequence mining for plan failures - CORE

This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data mining algorithms were overwhelmed by the staggering number of very frequent, but entirely unpredictive patterns that exist in the plan database. This paper combines several techniques for pruning out ...

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SPADE: An Efficient Algorithm for Mining .

21.06.2020 · In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex hash structures which have poor locality. SPADE utilizes combinatorial properties to decompose the original problem into smaller sub-problems, that can be independently solved in main-memory using efficient lattice ...

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