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managing and sharing data training resources

Tài liệu Managing and tabulating data in Excel docx

Tài liệu Managing and tabulating data in Excel docx

Tin học văn phòng

... small amount of data, a visual scan after data entry may suffice as a data validation technique. However, when the amount of data is large and/ or you want to ensure that invalid data is not entered ... tutorials, and numerous timesaving and annoyance-removing macros and utilities. He plans to create a similar tool for Microsoft Excel, and, depending on resource constraints and demand, for ... Recovery And Safe Mode 30 CHAPTER 2 DATA ENTRY FORM 33 2.1 An Easier Way To Type In Data Plus A Multi-Series “Find” Utility (Data /Form) 33 2.2 Form Based Data Entry 33 2.2.a New data...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Chinese Word Segmentation without Using Lexicon and Hand-crafted Training Data" pdf

Báo cáo khoa học

... statistical and rule-based, exploited two kinds of important resources, i.e., lexicon and hand-crafted linguistic resources( manually segmented and tagged corpus, knowledge for unknown words, and ... Segmentation without Using Lexicon and Hand-crafted Training Data Sun Maosong, Shen Dayang*, Benjamin K Tsou** State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, ... texts without making use of any lexicon and hand-crafted linguistic resource. The statistical data required by the algorithm, that is, mutual information and the difference of t-score between...
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mcsamcse self-paced training kit (exam 70-290) managing and maintaining a microsoft® windows server¿ 2003 environment

mcsamcse self-paced training kit (exam 70-290) managing and maintaining a microsoft® windows server¿ 2003 environment

Đại cương

... Evaluation Edition provided with this training is not the full retail product and is provided only for the purposes of training and evaluation. Microsoft and Microsoft Technical Support do not ... clients. ■ Terminal Server Provides applications and server resources, such as printers and storage, to multiple users as if those applications and resources were installed on their own computers. ... optional hands-on exercises only.) Caution The 180-day Evaluation Edition provided with this training is not the full retail prod-uct and is provided only for the purposes of training and evaluation....
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Managing and Mining Graph Data part 62 pdf

Managing and Mining Graph Data part 62 pdf

Cơ sở dữ liệu

... 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 ... 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 ... Classification, 40XML Clustering, 35, 291XML Indexing, 4, 17602 MANAGING AND MINING GRAPH DATA sent interactions between drugs and targets, and then used kernel regression tothe relationship among...
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Managing and Mining Graph Data part 1 pptx

Managing and Mining Graph Data part 1 pptx

Cơ sở dữ liệu

... 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 ... Conclusions and Future Research 55References 553Graph Mining: Laws and Generators69Deepayan Chakrabarti, Christos Faloutsos and Mary McGlohon1. Introduction 702. Graph Patterns 71x MANAGING AND ... Beijingviii MANAGING 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...
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Managing and Mining Graph Data part 2 docx

Managing and Mining Graph Data part 2 docx

Cơ sở dữ liệu

... sizes of the second and third-largestconnected components (CC2 and CC3) stabilize. We fo-cus on these next-largest connected components in (c).84xx MANAGING AND MINING GRAPH DATA 17.1 An unreduced ... Eqs.(2.5) and (2.6) are 0.7810 and 0.5217, respectively.49216.3 A toy example (reproduced from 61) 49616.4 Equivalence for Social Position 500xviii MANAGING AND MINING GRAPH DATA 7.3 Graph ... superlinearly-more money itdonates, and similarly, the more donations a candidategets, the more average amount-per-donation is received.Inset plots on (c) and (d) show 𝑖𝑤 and 𝑜𝑤 versus time.Note they...
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Managing and Mining Graph Data part 3 potx

Managing and Mining Graph Data part 3 potx

Cơ sở dữ liệu

... LLC 2010 C.C. Aggarwal and H. Wang (eds.), Managing and Mining Graph Data, Advances in Database Systems 40, DOI 10.1007/978-1-4419-6045-0_1, 6 MANAGING AND MINING GRAPH DATA In the second case, ... the web and social networks are defined on massive graphs4 MANAGING AND MINING GRAPH DATA Natural Properties of Real Graphs and Generators. In order to under-stand the various management and mining ... in the case of structured data than in the case of multi-dimensional data. The problem of managing graph data is related to the widely stud-ied field of managing XML data. Where possible, we will...
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Managing and Mining Graph Data part 4 ppsx

Managing and Mining Graph Data part 4 ppsx

Cơ sở dữ liệu

... graph data management and min-ing algorithms are required. This includes web data, social and computernetworking, biological and chemical data, and software bug localization.16 MANAGING AND ... algorithms and applications.2.1 Indexing and Query Processing TechniquesExisting database models and query languages, including the relational model and SQL, lack native support for advanced data ... localization and computer networking. In addition, many new kinds of data such as semi-© Springer Science+Business Media, LLC 2010 C.C. Aggarwal and H. Wang (eds.), Managing and Mining Graph Data, 13Advances...
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Managing and Mining Graph Data part 5 pptx

Managing and Mining Graph Data part 5 pptx

Cơ sở dữ liệu

... both the database and the IR communities.Graph is a general structure and it can be used to model a variety of complex data, including relational data and XML data. Because the underlying data assumes ... is to build a24 MANAGING AND MINING GRAPH DATA [94], random walk kernels [81] and diffusion kernels [119]. In random walkkernels [81], we attempt to determine the number of random walks betweenthe ... nodes in the graph independently and perform random walks starting from these nodes. These random walks can beGraph Data Management and Mining: A Survey of Algorithms and Applications 29used in...
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Managing and Mining Graph Data part 7 pptx

Managing and Mining Graph Data part 7 pptx

Cơ sở dữ liệu

... transition any webpage in the collection uniformly at random.50 MANAGING AND MINING GRAPH DATA examine the problem of community detection and change detection in a singleframework. This provides ... relationship (SAR) princi-46 MANAGING AND MINING GRAPH DATA Let 𝐴 be the set of edges in the graph. Let 𝜋𝑖denote the steady state proba-bility of node 𝑖 in a random walk, and let 𝑃 = [𝑝𝑖𝑗] denote ... dissemination in the underlyingGraph Data Management and Mining: A Survey of Algorithms and Applications 41Densification: Most real networks such as the web and social networks con-tinue to become...
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Managing and Mining Graph Data part 8 ppt

Managing and Mining Graph Data part 8 ppt

Cơ sở dữ liệu

... methods, procedures and functions in the program arenodes, and the relationships between the different methods are definedas edges. It is also possible to define nodes for data elements and modelrelationships ... graphs are created during program execution, and theyrepresent the invocation structure. For example, a call from one pro-56 MANAGING AND MINING GRAPH DATA [10] R. Agrawal, A. Borgida, H.V. Jagadish. ... of simple methods.60 MANAGING AND MINING GRAPH DATA [75] M. Fiedler, C. Borgelt. Support computation for mining frequent sub-graphs in a single graph. Workshop on Mining and Learning with Graphs(MLG’07),...
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Managing and Mining Graph Data part 9 pdf

Managing and Mining Graph Data part 9 pdf

Cơ sở dữ liệu

... Query Language and Access Methods for GraphDatabases, appears as a chapter in Managing and Mining Graph Data, ed.Charu Aggarwal, Springer, 2010.[97] H. He, Querying and mining graph databases. ... GRAPH DATA [175] H. Tong, C. Faloutsos, J Y. Pan. Fast random walk with restart and itsapplications. In ICDM, pages 613–622, 2006.[176] S. TrißI, U. Leser. Fast and practical indexing and querying ... fields and harmonic functions. ICML Conference, pages 912–919, 2003.Graph Data Management and Mining: A Survey of Algorithms and Applications 65[159] P. R. Raw, B. Moon. PRIX: Indexing and querying...
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Managing and Mining Graph Data part 10 potx

Managing and Mining Graph Data part 10 potx

Cơ sở dữ liệu

... of the WWW, Web “clickstream” data, sales data in retail chains, file size distributions, and phone usage data. 2.2 Small DiametersInformal description:. Travers and Milgram [80] conducted a famous ... in the graph, and sum the results to find the total74 MANAGING AND MINING GRAPH DATA sented as a table with the schema Graph(fromnode, tonode), the code forcalculating in-degree and out-degree ... [43] conjecture that for many graphs, the neighborhood size 𝑁ℎ80 MANAGING AND MINING GRAPH DATA graphs to random failures, and correlations found in the joint degree distri-butions of the graphs....
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Managing and Mining Graph Data part 11 ppt

Managing and Mining Graph Data part 11 ppt

Cơ sở dữ liệu

... generators, we provide citations and a summary.3.1 Random Graph ModelsRandom graphs are generated by picking nodes under some random prob-ability distribution and then connecting them by edges. ... R«enyi in the 1960s [40, 41]. Their random graphmodel was the first and the simplest model for generating a graph.Description and Properties. We start with 𝑁 nodes, and for every pair ofnodes, an ... point represents a node and the 𝑥 and 𝑦 coordinates areits degree and total weight, respectively. To achieve a good fit, we bucketizethe 𝑥 axis with logarithmic binning [64], and, for each bin, we...
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Managing and Mining Graph Data part 12 docx

Managing and Mining Graph Data part 12 docx

Cơ sở dữ liệu

... random and preferential attachment Instead of pure prefer-ential attachment, the endpoints of new edges are chosen according toa linear combination of preferential attachment and uniform random ... at time94 MANAGING AND MINING GRAPH DATA where 𝑘(𝑖) is the degree of node 𝑖. Note that since the generated network isundirected, we do not need to distinguish between out-degrees and in-degrees.The ... these edges is given by𝑃 (edge to existing vertex 𝑣) =𝑘(𝑣)∑𝑖𝑘(𝑖)(3.14)100 MANAGING AND MINING GRAPH DATA 𝑡, and 𝛼 ∈ [0, 1] is a free parameter. To rephrase the equation, in orderto choose...
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