adaptive stream mining pattern learning and mining from evolving data streams
Báo cáo khoa học: "Learning from evolving data streams: online triage of bug reports" potx
... situation.4.1 Progressive validationWhen learning from data streams the standardevaluation methodology where data is split into aseparate training and test set is not applicable. Anevaluation ... concept drift in data streams and on the evaluation of learning under itsconstraints. We also show that for evolving issuetracker data, in a large majority of cases SGD Re-gression handily outperforms ... pervasive and serious in real bug report streams. We thenaddress this problem by leveraging state-of-the-art online learning techniques which automati-cally track the evolving data stream and incremen-tally...
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Báo cáo khoa học: "CONTEXTUAL WORD SIMILARITY AND ESTIMATION FROM SPARSE DATA" ppt
... distributions of estimated fre- quency values for occurring and non-occurring sets. 170 CONTEXTUAL WORD SIMILARITY AND ESTIMATION FROM SPARSE DATA Ido Dagan ATãT Bell Laboratories 600 Mountain ... (Church and Hanks, 1990), machine transla- tion (Brown et al., ; Sadler, 1989), information retrieval (Maarek and Smadja, 1989) and various disambiguation tasks (Dagan et al., 1991; Hindle and ... for theories on generalization and anal- ogy in linguistic data. The literature suggests two major approaches for solving the sparse data problem: smoothing and class based methods. Smoothing...
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Báo cáo khoa học: "A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora" doc
... effective and scala-ble mining method, called MINT (MIning Named-entity Transliteration equivalents), for mining of NETEs from large comparable corpo-ra. MINT addresses several challenges in mining ... 11111,|,||1jajajjAmjnmtstpsaapstPjj Here, jt (and resp. is) denotes the jth (and resp. ith) character in wT (and resp. wS) and maA1is the hidden alignment between wT and wS where jtis aligned ... families (Hindi from the Indo-Aryan family, Russian from the Slavic fam-ily, Kannada and Tamil from the Dravidian fami-ly). Note that none of the five languages use a common script and hence identification...
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Generating test case from user interface and mining requirements
... Non-Empty Data field, string expected3 Symbol Empty, Non-Empty Data field, string expected4 Atomic number Invalid, Valid Data field, data typed > 05 Properties Empty, Non-Empty Data field, ... manually byhand. One of the important works in the testing process is the creation of test case. Tosolve this problem, we will build a tool from the method of generating test case from GUI and requirement ... interface elements and then willautomatically generate the parameters and the value of the parameter, and is to appear onthe screen test. After receiving the parameters and values of each parameter,...
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Báo cáo khoa học: "Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations" doc
... selected the best paraphrase of and from the following options:CAUSAL and as a result, and as a consequence, and enabled by thatNO-REL and independently, and for similar reasonsTo build ... (R)ecall and (F1)-measure. The null label is NO-REL.train/test split from Table 1 and the feature sets:Syntactic The syntactic features from Section 4.Semantic The semantic features from Section ... 81.2% ontemporal relations and 77.8% on causal re-lations. We trained machine learning mod-els using features derived from WordNet and the Google N-gram corpus, and they out-performed a variety...
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Báo cáo khoa học: "Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web" pdf
... in-formation from the Web and generates rankedrelational terms and surface patterns for eachconcept pair.ã Dependency Pattern Extractor generatesdependency patterns for each concept pair from corresponding ... thenumber of unique patterns is loose, but many pat-terns are non-discriminative and correlated. Asalient challenge and research interest for frequent pattern mining is abstraction away from differentsurface ... clus-tering approach based on combinations ofpatterns: dependency patterns from depen-dency analysis of texts in Wikipedia, and surface patterns generated from highly re-dundant information related...
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Researching Design Learning: Issues and Findings from Two Decades of Research and Development pot
... research learning curve, and with our practitioner backgrounds, we explored a rich and scary terrain of methodologies and techniques, led instinctively by our beliefs about capability and learning, ... at any age – and the differences emerge merely in the quality and depth of the outcomes from that activity and the understandings that they demonstrate. This paradigm derives from a philosophy ... allowed 1ẵ hours of activity, including using Researching Design Learning Issues and Findings from Two Decades and of Research and DevelopmentRICHARD KIMBELLKAY STABLESGoldsmiths, University...
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Productivity in the Mining Industry: Measurement and Interpretation pptx
... Feasibility analysis ã Mining services companies ã Mining companies ã Mining (Services to Mining) Mine development ã Acquire mining rights ã Construct access roads and infrastructure ... plant and equipment ã Contractors ã Mining companies ã Construction (if contracted) ã Mining (if in-house) Extraction ã Remove deposit from the ground ã Mining companies ã Mining ... involved and do not reflect those of the Productivity Commission. UNDERSTANDING PRODUCTIVITY IN MINING 65 4 Understanding productivity in mining: purchased inputs Key points ã Mining...
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investigative data mining for security and criminal detection 2003
... the data mining analysis. In this chapter we will discuss the closed and open sources of data availableboth online and offline and how to integrate and prepare the data prior to its analysis. Data ... voicemail, and e-mail. Coupled with data mining techniques, thisexpanded ability to access multiple and diverse databases will allow the expanded ability to predictcrime.Security and risk involving ... potential data sources forenhancing the value of an investigative data mining analysis. Users of data mining tools and techniques from industries in financial services, retailing, marketing, and...
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DATA MINING IN BANKING AND FINANCE: A NOTE FOR BANKERS pdf
... Chun, Se-Hak and Kim, Steven, Data mining or financial prediction and trading: application to single and multiple markets (2003) ã J. M. Zytkow and W. Klửsgen, Handbook of Data Mining and Knowledge ... portfolio risk to market and credit risk Models through data mining 9 Data mining techniques are used to discover hidden knowledge, unknown patterns and new rules from large data sets, which ... macroeconomic and microeconomic variables and this data is available in a variety of disparate formats. Data mining comes in here since it helps discover information and hidden patterns from large data...
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Managing and Mining Graph Data part 62 pdf
... Graph Data Mining 601dustry has generated a wealth of protein-ligand activity data for large com-pound libraries against many biomolecular targets. The data has been system-atically collected and ... biomolecular target’s chemical data analy-sis. In recent years, the trend has been to integrate chemical data with protein and genetic data (bioinformatics data) and analyze the problem over multipleproteins ... 327Frequent Pattern, 29, 161, 365Frequent Pattern Mining, 6, 29, 365Frequent Subgraph Mining, 29, 365, 555Frequent Subgraph Mining for Bug Localiza-tion, 521Frequent Subgraphs in Chemical Data, ...
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Managing and Mining Graph Data part 1 pptx
... 12. Graph Management and Mining Applications 33. Summary 8References 92Graph Data Management and Mining: A Survey of Algorithms and Applications13Charu C. Aggarwal and Haixun Wang1. Introduction ... 273. Graph Mining Algorithms 293.1 Pattern Mining in Graphs 293.2 Clustering Algorithms for Graph Data 323.3 Classification Algorithms for Graph Data 373.4 The Dynamics of Time -Evolving Graphs ... AND MINING GRAPH DATA 6. Vector Space Embeddings of Graphs via Graph Matching 2357. Conclusions 239References 2408A Survey of Algorithms for Keyword Search on Graph Data 249Haixun Wang and...
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