computation and iceberg cube computation methods can be explored 2/13/2015 Data Mining: Concepts and Techniques 11 Bottom-Up Computation (BUC) BUC (Beyer & Ramakrishnan, SIGMOD‟99) Bottom-up cube computation
Cache-Conscious Data Cube Computation on a Modern Processor数据立方体,高速缓存,处理器,计算,表面贴装技术,排序算法,在线分析处理,OLAP数据立方体计算是数据储藏和 OLAP 的地里的一个重要问题(联机分析处理) 。尽管它在过去广泛地被学习了,没有考虑中央处理器和缓存行为,大多数它的算法被设计。在这篇论文,我们...
and the previous data isn't overwritten. Changes to the value of a particular datum are stored as a new time-stamped event record. Time-stamped event records allow for recomputation at any point in time across the history of the data collected. The ability to recompute the batch view from...
This process leads to duplicate computation logic and complex management of the architecture for both paths. The Kappa architecture is an alternative to the Lambda architecture. It has the same basic goals as the Lambda architecture, but all data flows through a single path via a stream ...
methods Stratified sampling: Approximate the percentage of each class (or subpopulation of interest) in the overall database Used in conjunction with skewed data Note: Sampling may not reduce database I/Os (page at a time) Sampling: Cluster or Stratified Sampling Chapter 2: Data Preprocessing ...
methods 11/28/2010 Data Mining: Concepts and Techniques 52 Chapter 4: Data Cube Computation and Data Generalization Efficient Computation of Data Cubes Exploration and Discovery in Multidimensional Databases Attribute-Oriented Induction ─ An Alternative Data Generalization Method 11/28/2010 Data Mining: ...
each old value can be identified with one of the new values Methods Smoothing: Remove noise from data Attribute/feature construction New attributes constructed from the given ones Aggregation: Summarization, data cube construction Normalization: Scaled to fall within a smaller, specified range min-max...
Data Cube Computation Model dependencies among the aggregates: most detailed “view” can be computed from view (product,store,quarter) by summing-up all quarterly sales Computation Directives Hash/sort based methods (Agrawal et. al. VLDB’96) ...
Data Mining:Concepts and Techniques.ppt,* * * * * * * * Clustering-Based Method: Strength and Weakness Strength Detect outliers without requiring any labeled data Work for many types of data Clusters can be regarded as summaries of the data Once the clu
the average time to compute the bases with projected gradient descent given the activations and all the inputs was 15.9 seconds.To give a rough idea of total computation time, the test which produced the example in Fig. 2 took about an hour and a half to converge on a Linux box with an...