minerals and mining

Generating test case from user interface and mining requirements

Generating test case from user interface and mining requirements
... graphic user interface and the requirement of software to support tester for testing software This research report includes parts: generating test case from software requirements, generating test case ... automatically test case from the interface and mining requirements Application of the method of generating automatically Test Case from the interface, we have built successful Test Case generation tools ... generating test case from GUI, applying the method of generating test case from GUI and software requirements for specific examples, and support tool After researching and testing, in Conclusion,...
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Managing and Mining Graph Data part 62 pdf

Managing and Mining Graph Data part 62 pdf
... Co-clustering documents and words using bipartite spectral graph partitioning In Knowledge Discovery and Data Mining, pages 269–274, 2001 [10] J L Durant, B A Leland, D R Henry, and J G Nourse Reoptimization ... Query-Log Mining, 455 Querying, 161 Question Answering Portals, 465 R-MAT Generator, 108 Random Graph, 88 Random Graph Diameter, 90 Random Graph Models, 87 Random Walks, 45, 341, 412, 459, 479 Randomization, ... Preserving Randomization, 438 Feature-based Graph Index, 162 Feature-based Structural Filtering, 170 Frequency Descending Mining, 380 Frequent Dense Components, 327 Frequent Graph, 367 MANAGING AND MINING...
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Managing and Mining Graph Data part 1 pptx

Managing and Mining Graph Data part 1 pptx
... 11 5 11 5 11 7 12 5 12 6 12 6 12 7 12 8 12 9 13 0 13 1 13 1 13 2 13 2 13 3 13 4 13 7 13 8 14 0 14 0 14 2 14 4 14 6 14 8 14 8 15 0 15 2 15 2 15 5 15 5 15 6 15 6 15 7 16 1 16 1 Contents vii 16 2 16 3 16 4 16 6 16 7 16 7 16 8 16 9 17 0 17 1 17 2 ... 18 7 18 8 19 0 19 1 19 3 19 4 19 6 19 7 19 8 19 9 202 204 205 207 208 211 212 212 217 218 219 2 21 226 227 229 2 31 viii MANAGING AND MINING GRAPH DATA Vector Space Embeddings of Graphs via Graph Matching ... Exact Graph Matching Inexact Graph Matching 4 .1 Graph Edit Distance 4.2 Other Inexact Graph Matching Techniques Graph Matching for Data Mining and Information Retrieval 18 1 18 1 18 6 18 7 18 7 18 8 19 0...
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Managing and Mining Graph Data part 2 docx

Managing and Mining Graph Data part 2 docx
... indicators 22 2 22 4 22 5 22 7 23 2 25 3 26 1 26 1 26 2 26 6 29 4 309 316 316 317 320 329 338 339 341 346 346 350 List of Figures 11.7 11.8 11.9 12. 1 12. 2 12. 3 12. 4 12. 5 13.1 13 .2 14.1 14 .2 15.1 15 .2 16.1 16 .2 16.3 ... 198 20 0 20 1 20 3 20 4 20 6 20 7 20 9 21 0 22 0 22 1 xviii 7.3 7.4 7.5 7.6 7.7 8.1 8 .2 8.3 8.4 8.5 9.1 10.1 10 .2 10.3 10.4 10.5 10.6 11.1 11 .2 11.3 11.4 11.5 11.6 MANAGING AND MINING GRAPH DATA Graph (b) ... 4 .20 4 .21 4 .22 4 .23 5.1 5 .2 5.3 5.4 5.5 6.1 6 .2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 6.10 6.11 6. 12 6.13 6.14 7.1 7 .2 The translation of a graph pattern into a rule of Datalog A sample graph pattern and...
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Managing and Mining Graph Data part 3 potx

Managing and Mining Graph Data part 3 potx
... chapters expand on the various areas of graph mining We discuss these below 4 MANAGING AND MINING GRAPH DATA Natural Properties of Real Graphs and Generators In order to understand the various ... analysis, web graph analysis, MANAGING AND MINING GRAPH DATA and page rank analysis for search require the use of graph mining algorithms Chapter 15 provides a comprehensive overview of graph mining ... data An Introduction to Graph Data Mining Graph Data: As in the case of other data types such as multidimensional or text data, we can design mining problems for graph data This includes techniques...
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Managing and Mining Graph Data part 4 ppsx

Managing and Mining Graph Data part 4 ppsx
... localization and computer networking In addition, many new kinds of data such as semiC.C Aggarwal and H Wang (eds.), Managing and Mining Graph Data, Advances in Database Systems 40 , DOI 10.1007/978-1 -44 19-6 045 -0_2, ... graph data management and mining algorithms are required This includes web data, social and computer networking, biological and chemical data, and software bug localization 16 MANAGING AND MINING ... 10.1007/978-1 -44 19-6 045 -0_2, © Springer Science+Business Media, LLC 2010 13 14 MANAGING AND MINING GRAPH DATA structured data and XML [8] can typically be represented as graphs A detailed discussion...
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Managing and Mining Graph Data part 5 pptx

Managing and Mining Graph Data part 5 pptx
... entire dataset is often considered as a single graph, so the algorithms must work on a finer granularity Graph Data Management and Mining: A Survey of Algorithms and Applications 25 and return subgraphs ... 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 ... rank for graph streams The idea is to sample the nodes in the graph independently and perform random walks starting from these nodes These random walks can be Graph Data Management and Mining: ...
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Managing and Mining Graph Data part 7 pptx

Managing and Mining Graph Data part 7 pptx
... 16, 50, 69, 74 , 1 17, 131, 135, 171 , 173 ] The work in [9] also examines this problem in the context of evolving graph streams Many of these techniques 50 MANAGING AND MINING GRAPH DATA examine ... collection uniformly at random MANAGING AND MINING GRAPH DATA 46 Let 𝐴 be the set of edges in the graph Let 𝜋𝑖 denote the steady state probability of node 𝑖 in a random walk, and let 𝑃 = [𝑝𝑖𝑗 ] denote ... princi- 44 MANAGING AND MINING GRAPH DATA ple, is that the properties and biological activities of a chemical compound are related to its structure Thus, graph mining may help reveal chemical and biology...
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Managing and Mining Graph Data part 8 ppt

Managing and Mining Graph Data part 8 ppt
... Conference, 20 08 60 MANAGING AND MINING GRAPH DATA [75] M Fiedler, C Borgelt Support computation for mining frequent subgraphs in a single graph Workshop on Mining and Learning with Graphs (MLG’07), ... in Data Streams SIAM Conference on Data Mining, 2005 56 MANAGING AND MINING GRAPH DATA [10] R Agrawal, A Borgida, H.V Jagadish Efficient Maintenance of Transitive Relationships in Large Data and ... underlying data Graph Data Management and Mining: A Survey of Algorithms and Applications 55 Conclusions and Future Research In this chapter, we presented a survey of graph mining and management...
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Managing and Mining Graph Data part 9 pdf

Managing and Mining Graph Data part 9 pdf
... Bioinformatics Conf, 6:403–414, 2007 [ 190 ] N Wale, X Ning, G Karypis Trends in Chemical Graph Data Mining, appears as a chapter in Managing and Mining Graph Data, Springer, 2010 [ 191 ] N Wale, I A Watson, G ... sociology and computer science Keywords: Power laws, structure, generators C.C Aggarwal and H Wang (eds.), Managing and Mining Graph Data, Advances in Database Systems 40, DOI 10.1007 /97 8-1-44 19- 6045-0_3, ... probabilistic models for relational data In UAI, pages 485– 492 , 2002 66 MANAGING AND MINING GRAPH DATA [175] H Tong, C Faloutsos, J.-Y Pan Fast random walk with restart and its applications In ICDM,...
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Managing and Mining Graph Data part 10 potx

Managing and Mining Graph Data part 10 potx
... In-degree 100 00 100 10 10 Clickstream Out-degree 100 0 Count 100 0 100 00 Epinions Out-degree 100 00 Count 100 00 Count 73 10 100 Out-degree 100 0 100 00 (b) Epinions Out-degree 1 10 100 Out-degree 100 0 100 00 ... Internet graph, the degree distribution follows such a power law [43]; that is, the count Graph Mining: Laws and Generators 100 000 100 000 Epinions In-degree 100 0 100 100 10 1 10 100 In-degree 100 0 ... Static Graph Patterns Apart from power laws and small diameters, some other patterns have been observed in large real-world graphs These include the resilience of such MANAGING AND MINING GRAPH DATA...
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Managing and Mining Graph Data part 11 ppt

Managing and Mining Graph Data part 11 ppt
... SCC of the Web [33] Graph models and generators can be broadly classified into five categories: Random graph models: The graphs are generated by a random process The basic random graph model has attracted ... generators, we provide citations and a summary 3.1 Random Graph Models Random graphs are generated by picking nodes under some random probability distribution and then connecting them by edges ... matches the Internet AS graph very well, but formal results on the degree-distribution are not available 𝛾 = + as 𝑘 → ∞ (Eq 3.16) 𝛼 90 MANAGING AND MINING GRAPH DATA Tree-shaped subgraphs Similar results...
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Managing and Mining Graph Data part 12 docx

Managing and Mining Graph Data part 12 docx
... 92 MANAGING AND MINING GRAPH DATA Analytic expressions are known for the average path length of this model, but this typically tends to be somewhat less than that in real-world graphs [7] Apart ... for generating directed and bipartite random graphs Recent work has provided analytical results for the sizes of the strongly connected components and cycles in such graphs [30, 37] We not discuss ... 𝑘(𝑖) (3.14) 94 MANAGING AND MINING GRAPH DATA where 𝑘(𝑖) is the degree of node 𝑖 Note that since the generated network is undirected, we not need to distinguish between out-degrees and in-degrees...
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Managing and Mining Graph Data part 13 pptx

Managing and Mining Graph Data part 13 pptx
... preferences MANAGING AND MINING GRAPH DATA 110 The recursive nature of the partitions means that we automatically get sub-communities within existing communities (say, “RedHat” and “Mandrake” enthusiasts ... the current degree of node 𝑣 and 𝑑(𝑢, 𝑣) is the Euclidean distance between the two nodes The values 𝛼 and 𝜎 are parameters, with 𝛼 = 𝜎 = MANAGING AND MINING GRAPH DATA 108 giving the best fits ... 𝛼.𝑑𝑖𝑗 + ℎ𝑗 (𝑗 < 𝑖) (3.18) 104 MANAGING AND MINING GRAPH DATA where 𝑑𝑖𝑗 is the distance between nodes 𝑖 and 𝑗, ℎ𝑗 is some measure of the “centrality” of node 𝑗, and 𝛼 is a constant that controls...
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Managing and Mining Graph Data part 14 pdf

Managing and Mining Graph Data part 14 pdf
... questions and discussion These models can specifically match the hierarchical nature of the Internet, but they make no attempt to match any MANAGING AND MINING GRAPH DATA 114 other graph pattern ... eigenvalue-versus-rank plots and many others, MANAGING AND MINING GRAPH DATA 116 Small diameters, such as the “six degrees of separation” for the US social network, for the Internet AS level graph, and 12 for ... MANAGING AND MINING GRAPH DATA 112 (a) Graph 𝐺1 (b) Intermediate stage 1 1 1 G1 G1 G1 G1 G1 (d) Adjacency matrix of 𝐺1 (e) Adjacency matrix of 𝐺2 = 𝐺1 ⊗ 𝐺1 (c) Graph 𝐺2 = 𝐺1 ⊗...
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