Computation

the three data cube computation algorithms exercised in Question 2, discussed the following: 1, For different skewness of data, discuss the relative computation efficiency of the above algorithms in very large datasets; Answer (from luu1): Multi-way array aggregation: Computation efficiency will be higher with less skewed data. If the underlying data is extremely skewed, some chunks may be too big to fit into the memory (i.e. the dense data). Also, the shared aggregate computation will be done over

contextualised logarithms within trigonometry in order to contribute the issue of reducing computations. Burgi created the first table of logarithms based on the concept of relating geometric and arithmetic sequences. He aimed to facilitate computation but also to produce a table that could be applied to all arithmetical operations. He also produced many examples that demonstrated how his tables could lessen the work of computations. Next, Napier cooperated with the English mathematician Henry Briggs, in order

Qinghua Li and Guohong Cao proposed Two Credit-Based Privacy-Aware Incentive Schemes [7] for mobile sensing, corresponding to scenarios with and without a TTP respectively. Mainly based on hash and HMAC functions, the TTP-based scheme has very low computation cost at each node. Based on blind signature, partially blind signature, and extended Merkle tree techniques, the TTP-free scheme has higher overhead than the TTP-based scheme but it ensures that no

Neri Oxman Introduction Over the long trajectory of architectural design history, the design and production of artifacts has been characterized by the growing separation of form-making from its natural foundations in material conditions. In contradistinction to craft production (Sennett 2008) in which material and form are naturally intertwined into a tradition of making, modern design and production have historically evolved away from this integration towards the compartmentalization of form-making

multiple local optimum. The AI based method can easily resolve the some of the above problems like global optimum and discreate variables. Theoretically, the global optimum can be identified after many iterations, but this inevitably cost a lot of computation times. GA is inspired by the Darwinian theory of nature selection, that beneficial traits

extension might be .doc instead. The document is protected (Tools menu) so that the data in the answer cells is type-restricted. You may unprotect the document in order to “paste” excerpts from Excel (they must be formatted to fit) into your computations, but then you should re-protect the document without passwords so that you do not lose the answer formatting for the remainder of the exam. The exam does NOT have to be protected when it is

gain valuable insight on the processes of the business by collecting statistical data. BA is used by the company to improve the business decisions and can be used to automate and optimize the business processes. A data driven company, such as SMB Computation treats their data as a corporate asset and uses it to gain a competitive advantage. For business analytics to be successful, skilled analysts who recognize the technologies and the companies, organizational guarantee to the data-driven decision-making

help of computer, it is easy to the teachers to compute the grades of his students because of this automated grading system 4 4. Manual - Done by hand, or not using machinery or electronics to fulfill a function. - The teacher’s manual computation takes too much time to consume and some errors may occur. 5. Students - is a learner, or someone

3.1 Introduction 3.1.1 Graph Databases A graph database represents data and relationships between this data using concepts from graph data structures like nodes, edges and properties. Nodes represents the data entities, properties represent information about the nodes and edges which connect two nodes or a node and a property represent the relationship between the connected elements. [1] Figure 3.1 Property Graph Model [2] 3.1.2 Triple stores Triple store is a specific implementation of a graph

on a cluster” [1]. Before the introduction of MapReduce, biggest challenge in front of Google was processing large input data and distributed computations. There was no solution for parallelizing the computations, distributing the data, and handling failures. In order to solve these problems, Google introduced the concept of MapReduce for parallel computation in a distributed system for synthesizing large datasets. MapReduce programming paradigm is similar to the concept of map and reduce primitives