algorithms cost models and optimization techniques

... mean and variance of demand are known Roels and Perakis [96] generalized this model to incorporate additional moments and information on the shape of the demand On the other hand, if the demand ... demand is known by balancing the costs of under-ordering ˜ and over-ordering The random demand is represented by d with a probability distribution P The unit selling price is p, the unit cost ... matrices, branch and bound algorithms to solve QUBO problems were proposed by Carter [34] and Pardalos and Rodgers [95] Beasley [14] developed two heuristic algorithms based on tabu search and simulated...

Ngày tải lên: 10/09/2015, 09:29

... correspondence, the warranty costs are measured as expected warranty cost (EWC) and expected discounted warranty cost (EDWC) respectively 2) Cost per item sold vs cost for all items sold The former ... al (2008) and Huang and Fang (2008) considered variants of standard warranties, Wu et al (2009) and Lin et al (2009) dealt with the production and inventory problem for a static demand market, ... 2.1) and more complex system structure and ageing mechanism For interested readers, we refer to Sheu (1996), Wang and Pham (1999), Frickenstein and Whitaker (2003), Sheu and Chang (2001), and...

Ngày tải lên: 10/09/2015, 15:47

... Streams techniques is discussed, and the mining techniques supported by such methods The chapter discusses the challenges and tradeoffs associated with using different kinds of techniques, and the ... snapshots stored for a = and I = A geometric time window Data Based Techniques Task Based Techniques Typical LWClass Training Results Summary of Reviewed Techniques Algorithms for Frequent Itemsets ... researchers, the topics and content will be organized in such a way so as to present the most important models, algorithms, and applications in the data mining field in a structured and concise way In...

Ngày tải lên: 08/11/2013, 02:15

... watermark 36 DATA STREAMS: MODELS AND ALGORITHMS Discussion In this paper, we have discussed effective and efficient methods for clustering and classification of data streams The techniques discussed ... STREAMS: MODELS AND ALGORITHMS rn Tradeoff between Accuracy and Efficiency: The main tradeoff in data stream mining algorithms is between the accuracy of the output with regard to the application and ... (SCALLOP) [12] and Adaptive Nearest Neighbor Classification for Data-streams (ANNCAD) 1271 This selection of techniques is based on the soundness of the techniques and how well the techniques addresses...

Ngày tải lên: 08/11/2013, 02:15

... STREAMS: MODELS AND ALGORITHMS On Demand Classification Aggarwal et al have adopted the idea of micro-clusters introduced in CluStream [2] in On-Demand classification in [3] The on-demand classification ... Demand Classification of Data Streams, Proc 2004 Int Con$ on Knowledge Discovery and Data Mining (KDD '04), Seattle, WA [4] Babcock B., Babu S., Datar M., Motwani R., and Widom J (2002) Models and ... Holder and Diane Cook, Springer Verlag, to appear lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 58 DATA STREAMS: MODELS AND ALGORITHMS [15] Gama J., Rocha R and Medas...

Ngày tải lên: 08/11/2013, 02:15

... existing data mining models and algorithms Rather, it is necessary to tailor the algorithms appropriately to each task The algorithms discussed in [5,7] discuss methods for clustering and classification ... Shinji Kawasoe, and Setsuo Arikawa Online algorithms for mining semi-structured data stream In ICDM, pages 27-34,2002 [4] B Babcock, S Babu, M Datar, R Motwani, and J Widom Models and f Issues in ... stream, and indeed most of the mining algorithms discussed in this chapter are derived from these work Algorithms in mining frequent items in data streams use different techniques, such as random...

Ngày tải lên: 15/12/2013, 13:15

... response, and both space and time are critical in processing, we examine both time and space consumption In our study, besides presenting the total time and memory taken to compute and store ... ,XN be N random variables, such that 1.1 each random variable X j takes the value vj/P with probability P and the value zero otherwise Let & be the sum of these random variables and let A~ = ... both the time dimension and the other dimensions Since it takes a much smaller amount of space and time to handle regression measures in a multi-dimensional space than handling the stream data...

Ngày tải lên: 15/12/2013, 13:15

... data elements at a given time instant and window size refers to N 0.1 Motivation and Road Map Our aim is to develop algorithms for maintaining statistics and models that use space sublinear in ... algorithm, a standard technique for establishing lower bounds for randomized algorithms, called the minimax principle [18], lets us extend this lower bound on the space complexity to randomized algorithms ... On the other hand, a Monte Carlo algorithm is a randomized algorithm >A lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 158 DATA STREAMS: MODELS AND ALGORITHMS that...

Ngày tải lên: 15/12/2013, 13:15

... the key synopsis techniques, and the mining techniques supported by such methods We will discuss the challenges and tradeoffs associated with using different kinds of techniques, and the important ... watermark 174 DATA STREAMS: MODELS AND ALGORITHMS The Chernoff bound [14] applies when X is the sum of several independent and identical Bernoulli random variables, and has a lower tail bound ... to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS the wavelet coefficient definition i.e half the difference between the left hand and right hand side of the time series While this...

Ngày tải lên: 15/12/2013, 13:15

... watermark 212 DATA STREAMS: MODELS AND ALGORITHMS duration w, we simply regard the stream join between S 1and S2as a relational join view over append-only bags S 1and S2with an extra "window join ... tuples sl and s2, SI'S ECB dominates S ~ ' SECB if and only if b(sl) b(s2) Therefore, + lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS ... this watermark 204 DATA STREAMS: MODELS AND ALGORITHMS [31] Flajolet P., Martin G N (1985) Probabilistic Counting for Database Applications Journal of Computer and System Sciences, 31(2) pp 182-209...

Ngày tải lên: 15/12/2013, 13:15

... STREAMS :MODELS AND ALGORITHMS Introduction Raw stream data, such as faults and alarms generatedby network traffic monitors and log records generated by web servers, are almost always at low level and ... STREAMS: MODELS AAN ALGORITHMS tional Conference on Parallel and Distributed Information Systems, pages 68-77, Miami Beach, Florida, USA [45] Xie, J., Yang, J., and Chen, Y (2005) On joining and caching ... Schneider, and B Seeger The R*-tree: An efficient and robust access method for points and rectangles In SIGMOD, pages 322-33 1,1990 [6] J Bentley, B Weide, and A Yao Optimal expected time algorithms...

Ngày tải lên: 15/12/2013, 13:15

... STREAMS: MODELS AND ALGORITHMS (a) Original measurements vs reconstruction (b) Hidden variables Filplrre 12.4 Mote dataset: (a) shows the measurements (bold) and reconstruction (thin) on nodes and ... most streams exhibit a slow dip and then ascent (e.g., see 2, and and, to a lesser extent, 3, and 8) However, a number of them start fluctuating more quickly and violently when the second hidden ... DATA STREAMS: MODELS AND ALGORITHMS (a) Stream size t (b) Streams n (c) Hidden variables k Figure 12.8 Wall-clock times (including time to update forecasting models) Times for AR and MUSCLES are...

Ngày tải lên: 15/12/2013, 13:15

... watermark 306 DATA STREAMS: MODELS AND ALGORITHMS [25] H Kargupta, R Bhargava, K Liu, M Powers, P Blair, S Bushra, J Dull, K Sarkar, M Klein, M Vasa, and D Handy Vedas: A mobile and distributed data ... remove this watermark 304 DATA STREAMS: MODELS AND ALGORITHMS that can be efficiently maintained in a distributed and incremental setting should be designed and then specific solutions that use ... limited battery power and so developing algorithms with low communication lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 312 DATA STREAMS: MODELS AND ALGORITHMS overhead...

Ngày tải lên: 15/12/2013, 13:15

... STREAMS: MODELS AND ALGORITHMS A direct implementation of the distributed database techniques are not viable in sensor systems due to their communication and computation constraints Therefore, [6] and ... watermark 330 DATA STREAMS: MODELS AND RCGORITHMS [lo] P Gibbons and S Tirthapura Estimating simple functions on the union of data streams In ACM Symposium on Parallel Algorithms and Architectures, 200 ... 340 DATA STREAMS: MODELS AND ALGORITHMS Focusing on duplicate sensitive queries such as SUM and COUNT, [12] proposed a scalable algorithm that is fault-tolerant to sensor failure and computes approximate...

Ngày tải lên: 15/12/2013, 13:15

... lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS Hoeffding Inequality, 46, 174 Hoeffding Trees, 46 HPSTREAM 22 Iceberg Cubing for ... Stream clustering, 22 Pseudo-random number generation for sketches, 186 Punctuations for Stream Joins, 214 Pyramidal Time F m e , 12 Quantile Estimation, 198 Quantiles and Equi-depth Histograms, ... in Sensor Networks, 337 Query Processing with Wavelets, 181 Querying Data Streams, 238 Random Projection and Sketches, 184 Relational Join View, 11 Relative Error Histogram Construction, 198 Reservoir...

Ngày tải lên: 15/12/2013, 13:15

... Singapore) Vol 1: Multi-Objective Optimization: Techniques and Applications in Chemical Engineering ed: Gade Pandu Rangaiah Vol 2: Stochastic Global Optimization: Techniques and Applications in Chemical ... Gade Pandu Rangaiah Chapter Formulation and Illustration of Luus-Jaakola Optimization Procedure Rein Luus 17 Chapter Adaptive Random Search and Simulated Annealing Optimizers: Algorithms and Application ... world In addition, optimization is useful in understanding and modeling physical phenomena and processes Without the use of sophisticated optimization techniques, chemical and other manufacturing...

Ngày tải lên: 01/04/2014, 11:36

... SYNTHESIS AND OPTIMIZATION OF DSP ALGORITHMS This page intentionally left blank Synthesis and Optimization of DSP Algorithms by George A Constantinides Imperial ... word-length optimization problem is formulated and analyzed in Section 4.3 Optimization techniques are introduced in Section 4.4 and Section 4.5, results are presented in Section 4.6 and conclusions ... multiplier design: when one operand is a constant, and when both operands may vary In the former case, there are many opportunities for reducing the hardware cost and increasing the hardware speed...

Ngày tải lên: 09/04/2014, 16:39

... algorithm 3.2 Genetic algorithms Genetic algorithms, introduced by Holland in [16], belong to the class of approximation (or heuristic) algorithms, and are largely used to solve optimization problems ... Deterministic optimization algorithms, such as Newton, Steepest Descent, Gradient, quasi-Newton, Nelder-Mead [14, 15], are generally efficient methods when the cost function is monomodal and differentiable ... I (x1 , x2 )dx1 dx2 Therefore, the optimization problem can be written in an mathematical form: α = arg IE(α) α (8) OPTIMIZATION ALGORITHMS Deterministic algorithms (2) i=0 αi = α 3.1 N R0 (t)...

Ngày tải lên: 22/06/2014, 23:20

... Neural Networks Algorithms, Applications, and Programming Techniques James A Freeman David M Skapura Loral Space Information Systems and Adjunct Faculty, School of Natural and Applied Sciences ... applications, and programming techniques / James A Freeman and David M Skapura p cm Includes bibliographical references and index ISBN 0-201-51376-5 Neural networks (Computer science) Algorithms ... on the field Parallel Distributed Processing (PDF), Vols I and II, by David Rumelhart and James McClelland [23], and the accompanying handbook [22] are the place most often recommended to begin...

Ngày tải lên: 06/07/2014, 15:20

... Neural Networks Algorithms, Applications, and Programming Techniques James A Freeman David M Skapura Loral Space Information Systems and Adjunct Faculty, School of Natural and Applied Sciences ... applications, and programming techniques / James A Freeman and David M Skapura p cm Includes bibliographical references and index ISBN 0-201-51376-5 Neural networks (Computer science) Algorithms ... on the field Parallel Distributed Processing (PDF), Vols I and II, by David Rumelhart and James McClelland [23], and the accompanying handbook [22] are the place most often recommended to begin...

Ngày tải lên: 06/07/2014, 15:23