... they in OilGasandMining Companies? How is the corporate governance in OilGasandMining Companies at present? What should be done to improve the corporate governance in OilGasandMining ... governance status in the OilGasandMining companies 10 10 and also helping OilGasandMining companies to understand the message that sound CG is good for their business and it can positively ... concentrates in 24 OilgasandMining companies listed on Hanoi Stock Exchange b) The study will focus on corporate governance of OilGasandMining companies c) Time: 2012 d) Objects: 24 Oiland Mining...
... Medley Oil & Gas, LLC Los Angeles Unified School District Innex California, Inc Tetra Oil Company Tetra Oil Company Tetra Oil Company Tetra Oil Company Tetra Oil Company Medley Oil & Gas, LLC ... Corporation Incremental Oiland Gas, LLC Incremental Oiland Gas, LLC AA Production Services, Inc Sunset Exploration Inc Kelpetro Operating, Inc Atlas Operating LLC Black Gold Oil Company Howard E ... Inc Sampson Oil Partnership C & M Oil Co & Investments H L Hall & Sons, LLC Bright Dot Oil & Gas, LLC Go Energy, Inc Western Oil Independent LLC Western Oil Independent LLC Western Oil Independent...
... approves and supervises most oilandgas operations on American Indian lands The BLM regulations governing onshore oilandgas operations are codified at 43 CFR Part 3160 (onshore oilandgas operations) ... Groundwater Information Center at the Montana Bureau of Mines and Geology, the Utah Division of Oil, Gas, and Mining, and the Wyoming OilandGas Conservation Commission In addition, the U.S Geological ... limited oiland grease and pH, and some of the states placed limits on different combinations of total suspended solids, iron, chlorides, and other pollutants 4.2.1.1.2 Coastal Subcategory Oiland gas...
... generating test case from GUI and software requirements for specific examples, and support tool After researching and testing, in Conclusion, we give some comments and summarize on automatically ... program P has two input variables are X and Y In implementing P, suppose X and Y get the corresponding value set: {a, b, c} and {d, e, f} So we have parameters and each parameter has three levels ... (Windows XP, Windows 7, and Linux); and a third column represents printer types (PostScript, LaserJet, and Bubble Jet) We'd need a table with x x rows—27 rows— to represent all of the possible...
... Consulting and Investment for Agro -forestry Development Ltd Co of Eakmat (Eakmat Ltd Co.) Division of Administration and Personnel GiaLai Agro -forestry and Water resource Research and Experiment ... agriculture, forestryand water resource to Central Highlands regions Participate in training, consulting and transferring scientific and advanced techniques to organizations, individuals and farmers ... breeding of agricultural crops, forestry, silkworm Research on cultivation practices Studies on soil assessment and classification Studies on forestry development and agro -forestry models Studies on...
... atmospheric gases lies in the possibility of adjusting the gas medium in terms of the homogeneity of a particular gas composition, and in terms of the proper distribution, temperature, and pressure, ... Communications and Networking Antenna Gas feeder Lens Spherical mirror Mirror adjustment Coupling foil Spherical mirror Lens Evacuation Antenna (a) (b) Figure 1: Fabry-Perot resonator for gas attenuation ... comparison of measured gas attenuation and the attenuation derived by ITU-R P.676 [6] for the standard atmosphere at a temperature of 293.15 K, a pressure of 1013 MPa, and a water vapor density...
... 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, ... 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 ... and R Kondor Kernels and regularization on graphs In Proceedings COLT and Kernels Workshop, pages 144–158 M.Warmuth and B Sch- lkopf, 2003 o [48] Nikolaus Stiefl, Ian A Watson, Kunt Baumann, and...
... Aggarwal and Haixun Wang Introduction Graph Management andMining Applications Summary References Graph Data Management and Mining: A Survey of Algorithms and Applications Charu C Aggarwal and Haixun ... Applications 4.1 Chemical and Biological Applications 4.2 Web Applications 4.3 Software Bug Localization Conclusions and Future Research References Graph Mining: Laws and Generators Deepayan Chakrabarti, ... Christos Faloutsos and Mary McGlohon Introduction Graph Patterns xxiii 1 13 13 16 16 19 21 24 27 29 29 32 37 40 43 43 45 51 55 55 69 70 71 MANAGING ANDMINING GRAPH DATA vi 2.1 Power Laws and Heavy-Tailed...
... 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 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 ANDMINING GRAPH DATA xvi 3.6 ... (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...
... management andmining The book provides a number of introductory chapters in the beginning, and then discusses a variety of graph mining algorithms in more detail Graph Management andMining Applications ... chapters expand on the various areas of graph mining We discuss these below 4 MANAGING ANDMINING GRAPH DATA Natural Properties of Real Graphs and Generators In order to understand the various ... data analysis, drug discovery and communication networking Traditional data miningand management algorithms such as clustering, classification, frequent pattern miningand indexing have now been...
... convolution kernels MANAGING ANDMINING 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 ... sketches, sampling, hashing and distinct counting Methods have been proposed for determining the moments of the degrees, determining heavy hitter degrees, and determining range sums of degrees...
... MANAGING ANDMINING 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 ... collection uniformly at random MANAGING ANDMINING 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 ... metabolism, etc [30], and facilitate the process of drug design For this reason, academia and pharmaceutical industry have stepped up efforts in chemical and biology graph mining, in the hope that...
... 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 miningand management applications ... Conference, 2008 60 MANAGING ANDMINING GRAPH DATA [75] M Fiedler, C Borgelt Support computation for mining frequent subgraphs in a single graph Workshop on Miningand Learning with Graphs (MLG’07), ... call graphs may be huge and unwieldy for use with graph mining algorithms The large sizes of call-graphs creates a challenge for graph mining procedures This is because graph mining algorithms are...
... MANAGING ANDMINING GRAPH DATA [175] H Tong, C Faloutsos, J.-Y Pan Fast random walk with restart and its applications In ICDM, pages 613–622, 2006 [176] S TrißI, U Leser Fast and practical indexing and ... patterns in a large sparse graph Data Miningand Knowledge Discovery, 11(3): pp 243–271, 2005 Graph Data Management and Mining: A Survey of Algorithms and Applications 63 [125] J Larrosa, G ... Management and Mining: A Survey of Algorithms and Applications 67 [192] N Wale, I A Watson, G Karypis Comparison of descriptor spaces for chemical compound retrieval and classification Knowledge and...
... laws and small diameters, some other patterns have been observed in large real-world graphs These include the resilience of such MANAGING ANDMINING GRAPH DATA 80 graphs to random failures, and ... 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 ... find that randomized breadth-first search algorithms are also ill-suited for large graphs, and they provide a randomized algorithm for finding the hop-plot which takes 𝑂((𝑁 +𝐸)𝑑) time and 𝑂(𝑁 )...
... 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 ... 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 ... 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...
... Combining random and preferential attachment Instead of pure preferential attachment, the endpoints of new edges are chosen according to a linear combination of preferential attachment and uniform random ... further; the interested reader is referred to [69] Open questions and discussion Generalized random graph models retain the simplicity and ease of analysis of the Erd- s-R«nyi model, while removing ... outside; random graphs not appear to show any such behavior Further work is needed to accommodate these patterns into the random graph generation process 3.2 Preferential Attachment and Variants...
... 𝛼.𝑑𝑖𝑗 + ℎ𝑗 (𝑗 < 𝑖) (3.18) 104 MANAGING ANDMINING 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 ... 𝑘(𝑣) is 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 ANDMINING GRAPH DATA 108 giving the best ... preferences MANAGING ANDMINING GRAPH DATA 110 The recursive nature of the partitions means that we automatically get sub-communities within existing communities (say, “RedHat” and “Mandrake” enthusiasts...
... 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 ... Rajagopalan, and Andrew Tomkins The web as a graph: Measurements, models and methods In International Computing and Combinatorics Conference, Berlin, Germany, 1999 Springer [52] Paul L Krapivsky and Sidney ... 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 ANDMINING GRAPH DATA...