compiling managing and viewing your data
Tài liệu Importing and Exporting Your Data doc
... top-level folder of your mailbox, shown here as Hotmail (see Figure 19.8) Figure 19.8 Select the folders to export When you select the entire mailbox and include subfolders, Deleted Items and Junk E-mail ... export your appointments before correcting time zone problems When you need to import the items, repeat the steps and choose Import from Another Program or File Choose Personal Folder File (PST) and ... You can create filters to restrict the items exported The Import and Export Wizard uses the filter dialog used by Advanced Find and Search folders Select the file that you want to Save Exported...
Ngày tải lên: 26/01/2014, 04:20
Managing and Mining Graph Data part 62 pdf
... biomolecular target’s chemical data analysis In recent years, the trend has been to integrate chemical data with protein and genetic data (bioinformatics data) and analyze the problem over multiple ... relate drugs and targets explicitly For example, Yamanish et al.([60]), developed profiles to repre- 602 MANAGING AND MINING GRAPH DATA sent interactions between drugs and targets, and then used ... Graph Data Mining 601 dustry has generated a wealth of protein-ligand activity data for large compound libraries against many biomolecular targets The data has been systematically collected and...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 1 pptx
... Introduction to Graph Data Charu C Aggarwal and Haixun Wang Introduction Graph Management and Mining Applications Summary References Graph Data Management and Mining: A Survey of Algorithms and Applications ... for Data Mining and Information Retrieval 181 181 186 187 187 188 190 191 193 194 196 197 198 199 202 204 205 207 208 211 212 212 217 218 219 221 226 227 229 231 viii MANAGING AND MINING GRAPH DATA ... 10.2 The General Cases 11 Conclusions and Summary References Exact and Inexact Graph Matching: Methodology and Applications Kaspar Riesen, Xiaoyi Jiang and Horst Bunke Introduction Basic Notations...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 2 docx
... sizes of the second and third-largest connected components (CC2 and CC3) stabilize We focus on these next-largest connected components in (c) 84 3.4 3.5 MANAGING AND MINING GRAPH DATA xvi 3.6 3.7 ... (a) and (b) Graph (a) is a minimum common supergraph of graph (b) and (c) A possible edit path between graph 𝑔1 and graph 𝑔2 (node labels are represented by different shades of gray) Query and database ... 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) is isomorphic to (a), and graph (c) is isomorphic to a subgraph of (a) Node attributes...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 3 potx
... Aggarwal and H Wang (eds.), Managing and Mining Graph Data, Advances in Database Systems 40, DOI 10.1007/978-1-4419-6045-0_1, © Springer Science+Business Media, LLC 2010 MANAGING AND MINING GRAPH DATA ... data than in the case of multi-dimensional data The problem of managing graph data is related to the widely studied field of managing XML data Where possible, we will draw on the field of XML data, ... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 4 ppsx
... 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 ... software bug 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 ... algorithms and applications 2.1 Indexing and Query Processing Techniques Existing database models and query languages, including the relational model and SQL, lack native support for advanced data...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 5 pptx
... 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 ... convolution kernels MANAGING AND MINING GRAPH DATA 24 [94], random walk kernels [81] and diffusion kernels [119] In random walk kernels [81], we attempt to determine the number of random walks between ... nodes in the graph independently and perform random walks starting from these nodes These random walks can be Graph Data Management and Mining: A Survey of Algorithms and Applications 29 used in order...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 7 pptx
... 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 ... cycles and paths) in the graph, and hashing them into a bit-string In another line of work, researchers use data mining methods to find frequent subgraphs [150] in a chemical graph database, and ... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 8 ppt
... 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 ... representation of the relationships between the different methods and data elements of a program Different kinds of edges are used to denote control and data dependencies The first step is to determine conditional...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 9 pdf
... 2004 [140] A McGregor Finding Graph Matchings in Data Streams APPROXRANDOM, pp 170–181, 2005 64 MANAGING AND MINING GRAPH DATA [141] T Milo and D Suciu Index structures for path expression In ... 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, ... labeled and unlabeled o data on a directed graph ICML Conference, pages 1036–1043, 2005 68 MANAGING AND MINING GRAPH DATA [210] D Zhou, O Bousquet, J Weston, B Sch- lkopf Learning with local and...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 10 potx
... 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 80 graphs to random failures, and ... of the WWW, Web “clickstream” data, sales data in retail chains, file size distributions, and phone usage data 2.2 Small Diameters Informal description: Travers and Milgram [80] conducted a famous ... distribution, and the point where the tail begins needs to be hand-picked, and (iii) the right end of the distribution is very noisy [66] However, this is the simplest technique, and seems to...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 11 ppt
... 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 ... superlinearly-more money it donates, and similarly, the more donations a candidate gets, the more average amount-per-donation is received Inset plots on (c) and (d) show 𝑖𝑤 and 𝑜𝑤 versus time Note they ... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 12 docx
... 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 ... original BA model, one node and 𝑚 edges are added to the graph every iteration Albert and 96 MANAGING AND MINING GRAPH DATA Figure 3.11 The edge copying model New nodes can choose to copy the edges ... Bianconi and Barab«si [18] try to model this Their model attaches a fitness parameter to a each node, which does not change over time The idea is that even a node 98 MANAGING AND MINING GRAPH DATA...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 13 pptx
... 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 ... 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 ... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 14 pdf
... 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 ... Tertius de Wet, and Yuri Goegebeur A goodness-of-fit statistic for Pareto-type behaviour Journal of Computational and Applied Mathematics, 186(1):99–116, 2005 118 MANAGING AND MINING GRAPH DATA [16] ... Knowledge Discovery and Data Mining, New York, NY, 2001 ACM Press [35] Sergey N Dorogovtsev and Jos« Fernando Mendes Evolution of Nete works: From Biological Nets to the Internet and WWW Oxford University...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 15 docx
... V1.label = ’A’ AND V2.label AND V1.vid = E1.vid1 AND V1.vid AND V2.vid = E1.vid2 AND V2.vid AND V3.vid = E2.vid2 AND V3.vid AND V1.vid V2.vid AND V1.vid AND V2.vid V3.vid; = ’B’ AND V3.label ... terminals and nonterminals, and a finite set of production rules A production rule consists of a MANAGING AND MINING GRAPH DATA 130 nonterminal on the left hand side and a sequence of terminals and ... Aggarwal and H Wang (eds.), Managing and Mining Graph Data, Advances in Database Systems 40, DOI 10.1007/978-1-4419-6045-0_4, © Springer Science+Business Media, LLC 2010 125 MANAGING AND MINING...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 16 doc
... is contained in Datalog This is proved by translating graphs, graph patterns, and graph templates into facts and rules of Datalog Query Language and Access Methods for Graph Databases 139 Theorem ... of formal parameters which are graph patterns, and a template body which is defined by referring to the graph patterns MANAGING AND MINING GRAPH DATA 136 Once actual parameters (matched graphs) ... consists of three primitive operators: Cartesian product, primitive composition, and selection MANAGING AND MINING GRAPH DATA 138 DBLP: graph G1 { node v1 ; node v2 ;...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 17 docx
... again for convenience Figure 4.17 shows the neighborhood subgraphs of ra- 144 MANAGING AND MINING GRAPH DATA dius and their profiles for nodes of 𝐺 If the feasible mates are retrieved using node ... is the refinement level, 𝑑1 and 𝑑2 are maximum degrees of 𝒫 and 𝐺 respectively, and 𝑀 () is the time complexity of maximum bipartite matching (𝑂(𝑛2.5 ) for Hopcroft and Karp’s algorithm [19]) ... finds feasible mates by checking profiles and “Retrieve by subgraphs” finds feasible mates by checking neighborhood subgraphs (Sec- MANAGING AND MINING GRAPH DATA 150 tion 4.2) “Refined search space”...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 18 docx
... recently, XML databases have been studied intensively for tree-based data models and semistructured data XML databases can be generally implemented in two approaches: mapping to relational database ... semistructured and does not cast strict and predefined data types or schemas on nodes, edges, and graphs In contrast, SQL presumes a strict schema in order to store data OODB requires objects (nodes and ... 158 MANAGING AND MINING GRAPH DATA [3] S Berretti, A D Bimbo, and E Vicario Efficient matching and indexing of graph models in content-based retrieval In IEEE Trans on Pattern Analysis and Machine...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 19 potx
... fetching a candidate graph from the disk, and 𝑇𝑖𝑠𝑜 𝑡𝑒𝑠𝑡 is the average time of checking a subgraph isomorphism, which is conducted over query 𝑄 and graphs in the candidate answer set The candidate ... the database itself 2.1 Paths One solution to substructure search is to take paths as features to index graphs: Enumerate all the existing paths in a database up to a 𝑚𝑎𝑥𝐿 length and MANAGING AND ... support constraint will select and index small structures with low minimum supports and large structures with high minimum supports 166 MANAGING AND MINING GRAPH DATA This method has two advantages:...
Ngày tải lên: 03/07/2014, 22:21