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PlanMine: Predicting Plan Failures using Sequence Mining (1999)
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.
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Proceedings of the Fourth Knowledge Discovery and Data Mining ...
PlanMine: Sequence Mining for Plan Failures / 369 Mohammed J. Zaki, Neal Lesh and Mitsunori Ogihara, University of Rochester. Conference Report. Knowledge Discovery and the Interface of Computing and Statistics / 375 Arnold Goodman, University of California, Irvine and John Elder IV, Elder Research.
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Data Mining: Mining stream time series and sequence data - SlideShare
Follow. DMT at DMT. Data Mining: Mining stream time series and sequence data. DataminingTools Inc. 5.2 mining time series data. Krish_ver2. Data mining technique for classification and feature evaluation using stream ... ranjit banshpal. 5.4 mining sequence patterns in biological data.
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PLANMINE: Sequence Mining for Plan Failures - Association for the ...
This paper presents the PLANMINEsequence 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 number of very frequent, but entirely un- predictive patterns that exist in the plan database.
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Sequence Mining in Categorical Domains: Incorporating Constraints
These take the form of length or width limitations on the sequences, minimum or maximum gap constraints on con- secutive sequence elements, applying a time window on al- lowable sequences,...
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A fast method for discovering critical edge sequences in e-commerce ...
There exists other research that applies sequence mining techniques in mining web logs, some exploiting multi-threaded and multi-processor systems. ... M.J. Zaki, N. Lesh, M. Ogihara, Planmine: Sequence mining for plan failures, in: Proceedings of the International Conference on Knowledge Discovery and Data Mining, 1998, pp. 369-373.
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A software tool 'CroCo' detects pervasive cross-species contamination ...
Using multiple, recently published sequence datasets, we show that cross contamination is consistently present at varying levels in real data. ... a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies. ... Brandl H, Moon H, Vila-Farré M, Liu S-Y, Henry I, Rink JC. PlanMine — a mineable ...
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دانلود مقاله : یکپارچگی بازیابی اطلاعات و داده کاوی برای کشف الگوهای ...
This study integrates information retrieval and data mining techniques to discover project team coordination patterns from project documents written in Chinese. The coordination pattern of a project team describes the project execution process, including task category, execution sequence and duration, as well as the team member cooperation.
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Comprehensive annotation and characterization of planarian ... - bioRxiv
Annotation of tRNAs and codon usage in planarians. To predict tRNA genes in Schmidtea mediterranea, we used tRNA prediction algorithms tRNAScan-SE and Aragorn to scan dd_Smes_G4 version of genome. tRNAScan-SE predicted 4,115 putative loci while Aragorn predicted 4,143 loci across planarian genome ().Sequences predicted by both the programs were clustered and overlapped using CD-HIT (>90% ...
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The genome of S. mediterranea and the evolution of cellular core ...
The planarian Schmidtea mediterranea is an important model for stem cell research and regeneration. We report the first highly contiguous genome assembly of Schmidtea mediterranea, using long-read sequencing and a de novo assembler (MARVEL) enhanced for low complexity reads. The S. mediterranea genome is highly polymorphic and repetitive genome, and harbors a novel class of giant Gypsy ...
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Tracing cell-type evolution by cross-species comparison of cell atlases
PlanMine 3.0-improvements to a mineable resource of flatworm biology and biodiversity. Nucleic Acids Res. 2019; 47: D812-D820. Crossref; PubMed; Scopus (51) ... De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat. Protoc. 2013; 8: 1494-1512. Crossref; PubMed; Scopus (4420)
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PlanMine - a mineable resource of planarian biology and biodiversity
2 NucleicAcidsResearch,2015 for comparing and mining planarian transcriptomes and RNA-Seqdatasetscreatedacrossthecommunity;second ...
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PlanMine: Sequence Mining for Plan Failures - Academia.edu
Below we present our pruning schemes for retaining example database with 522 items, 1000 good plans and 51 only the most predictive patterns. bad plans, with an average of 274 events per good plan, 196 events per bad plan, and an average event length of 6.3 in Pruning Normative Patterns Background knowledge both.
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Genome and Organism Specific List of 111 Databases
Genome and Organism Specific Databases. There are various databases related to the genome of viruses, archaea, bacteria, cell organelle, invertebrates, vertebrates, plants, and human beings. The details about the database are as follows: List of 15 Virus Databases. List of 7 Archaeal Databases. List of 19 Bacterial Databases.
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A Comparative Study of Sequential Pattern Mining Algorithms - IJAIEM
2.1 Apriori Algorithm and Its Extension to Sequence Mining A sequence is a time-ordered list of objects, in which each object consists of an itemset, with an itemset consisting of all ... with applications in emergency situations. The algorithm (PlanMine) is based on the SPADE algorithm . International Journal of Application or Innovation in ...
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PlanMine: Predicting Plan Failures Using Sequence Mining
12 Citations Metrics Abstract This paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions.
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PlanMine UserGuide - Max Planck Society
Planmine allows to blast arbitrary protein and nucleotide query sequences against all species in PlanMine but also against various reference species. The integrated BLAST search page allows you to search against all transcripts stored in PlanMine with a query sequence of your choice. The
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Master of Orion 3 Message Board - Page 1 | Cheat Happens
Mining Cheat - Provides a huge benefit to mining production and rare mineral benefits from mines. May result in an increase in pollution and decrease to unrest as a result, see Environment cheat. ... *PlanMine Starting Planet Mineral Richness *PlanBioD Starting Planet Biodiversity *Cunning Cunning *Creativi Creativity *Fatalism Fatalism ...
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SPADE: An Efficient Algorithm for Mining Frequent Sequences
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 ...
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Oracle Database 10 g : a platform for BLAST search and Regular ...
All three reading frames of chromosomes 1-16 of the yeast proteome were downloaded from the Web ( ), as was yeast protein-protein interaction data ( 13).The data files were converted into CSV format and loaded into Oracle Database 10 g using SQL*Loader. A PL/SQL script was then written that allowed ODM BLAST to perform a homology search where all interacting human ...
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SPADE: An Efficient Algorithm for Mining Frequent Sequences
Additionally, TRIPS invokes PLANMINE SEQUENCE MINING 57 Figure 24. a) Number of frequent sequences; b) effect of different pruning techniques. on the execution traces produced by simulation, in order to analyze why the plan failed when it did. This information can be used to improve the plan. PLANMINE has also been integrated into the IMPROVE ...
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PlanMine - a mineable resource of planarian biology and biodiversity ...
Home » Literature » PlanMine - a mineable resource of planarian biology and biodiversity PlanMine - a mineable resource of planarian biology and biodiversity Publication Type:
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Sequence mining in categorical domains | Proceedings of the ninth ...
Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery: An International Journal, 1(3):259-289, 1997. Google Scholar ... PLANMINE: Sequence mining for plan failures. In 4th Intl. Conf. Knowledge Discovery and Data Mining, August 1998. Google Scholar; Index Terms. Sequence mining in categorical domains ...
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26th annual Nucleic Acids Research database issue and Molecular Biology ...
Protein sequence databases include UniProtKB, InterPro and Pfam, while wwPDB and RCSB cover protein structure. ... LNCipedia contributes an update, also with a major focus on text mining and manual curation. The popular LncRNA2Target database ... Popular model organism databases such as FlyBase, ZFIN and PlanMine are ...
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PlanMine: Custom query
PlanMine: Custom query QueryBuilder Advanced users can use a flexible query interface to construct their own data mining queries. The QueryBuilder lets you view the data model, apply constraints and select output. You can also export queries to share them with others. Browse data model Import query from XML Login to view saved queries
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I. Henry | Semantic Scholar
PlanMine is based on the popular InterMine system and aims to provide an easily accessible platform for sharing, comparing and value-added mining of planarian sequence data to catalyze the comparative analysis of the phenotypic diversity amongst planarian species. 128 13 PDF View PDF
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Discovering Activities to Recognize and Track in a Smart Environment
The purpose of the clustering algorithm in this project is ultimately to provide groupings of sensor sequences that reflect regularly-performed activities and that can be recognized. The primary performance criteria thus applies to the entire discovery and recognition approach rather than just to the clustering component.
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Mining Clickstream Patterns Using IDLists | Request PDF
Request PDF | On Oct 1, 2019, Huy M. Huynh and others published Mining Clickstream Patterns Using IDLists | Find, read and cite all the research you need on ResearchGate
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PlanMine: Predicting Plan Failures Using Sequence Mining
Discovery of Plan Failures: Sequence Mining The input to PLANMINEconsists of a database of plans for evacuating people from one city to another. Each plan is tagged Failure or Success depending on whether or not it achieved its goal. Each plan has a unique identifier, and PLANMINE425 Figure 3. Example plan database. a sequence of actions or events.
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GPCRs Direct Germline Development and Somatic Gonad Function in ... - PLOS
By genome-enabled receptor mining, we identified 566 putative planarian GPCRs and classified them into conserved and phylum-specific subfamilies. We performed a functional screen to identify NPYR-1 as the cognate receptor for NPY-8, a neuropeptide required for sexual maturation and germ cell differentiation.
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Ian Henry - Senior Dirctor, Head of Data Science and Artificial ...
Planarian flatworms are in the midst of a renaissance as a model system for regeneration and stem cells. Besides two well-studied model species, hundreds of species exist worldwide that present a...
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Get a Quote - Extreme Measures Inc
As-Built Floor Plans. Our expert technicians measure and draft your building. You get PDF floor plans, CAD floor plans, one area analysis (BOMA or other), an area certificate letter, exterior photographs, and unlimited access to Planmine™. Project Name / Address. City / Town Province / State.
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From Sequence Mining to Multidimensional Sequence Mining
Sequential pattern mining has been broadly studied and many algorithms have been proposed. The first part of this chapter proposes a new algorithm for mining frequent sequences. This algorithm processes only one scan of the database thanks to an indexed structure...
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Sequence Mining in Dynamic and Interactive Environments
PLANMINE: Sequence mining for plan failures. In 4th Intl. Conf. Knowledge Discovery and Data Mining. Google Scholar Download references. Author information. Authors and Affiliations. Computer Science Department, University of Rochester, Rochester, NY, 14627. ...
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Principles of Mine Planning | Request PDF - ResearchGate
Determining the Most Effective Factors on Open Pit Mine Plans and Their Interactions. Chapter. Jan 2014. Mehdi Rahmanpour. Osanloo Morteza. View. Show abstract. Adamu S.J, Sabo A., Aliyu M.M, and ...
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Application of Computational Methods in Planaria Research: A Current ...
PlanMine is an integrated query-able database which is used by entering identifiers or keywords for contigs, to search databases like InterPro, SMART, PROSITE, Treefam and gene ontology [ 10 ]. InterPro enables protein sequence analysis, predicting domain and categorising into families and predicting domains.
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Mining Complex Types of Data - PowerPoint PPT Presentation
62. Summary (1) Mining complex types of data include object data, spatial data, multimedia data, time-series data, text data, and Web data. Object data can be mined by multi-dimensional. generalization of complex structured data, such. as plan mining for flight sequences. Spatial data warehousing, OLAP and mining.
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PlanMine - Mathematical software - swMATH
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.
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Get a Quote - Extreme Measures Inc
3D Laser Scanning & Scan-to-BIM/CAD Area Analysis of Supplied CAD Files As-Built Floor Plans Our expert technicians measure and draft your building. You get PDF floor plans, CAD floor plans, one area analysis (BOMA or other), an area certificate letter, exterior photographs, and unlimited access to Planmine™. Project Name / Address
WhatsApp:+8617329420102
PLANMINE: Sequence Mining for Plan Failures - Association for the ...
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.
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