عنوان
پدید آورنده
موضوع
رده
EBOOK,QA .B45 76.9
EBOOK
,
QA
.
B45
76
.
9
کتابخانه
محل استقرار
شابک
شابک
9788132236283
عنوان و نام پديدآور
عنوان اصلي
Big data analytic
نام نخستين پديدآور
Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao, editor
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New Delhi, India
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
2016
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource )278 p.(
یادداشتهای کلی مربوط به اطلاعات توصیفی
متن يادداشت
6.3 Partition Results Using ADG Heuristic
یادداشتهای مربوط به مندرجات
متن يادداشت
Foreword; Preface; Contents; About the Editors; Big Data Analytics: Views from Statistical and Computational Perspectives; 1 Some Unique Characteristics of Big Data; 2 Computational versus Statistical Complexity; 3 Techniques to Cope with Big Data; 4 Conclusion; References; Massive Data Analysis: Tasks, Tools, Applications, and Challenges; 1 Introduction; 1.1 Motivation; 1.2 Big Data Overview; 1.3 Big Data Adoption; 1.4 The Chapter Structure; 2 Big Data Analytics; 2.1 Descriptive Analytics; 2.2 Predictive Analytics; 2.3 Prescriptive Analytics; 3 Big Data Analytics Platforms; 3.1 MapReduce
متن يادداشت
3.2 Apache Hadoop3.3 Spark; 3.4 High Performance Computing Cluster; 4 Distributed Data Management Systems for Big Data Analytics; 4.1 Hadoop Distributed File System; 4.2 NoSQL Databases; 5 Examples of Massive Data Applications; 5.1 Recommendations in e-Commerce; 5.2 Link Prediction in Biomedical Literature; 6 Current Issues of Big Data Analytics; 6.1 Data Locality; 6.2 Fault-Tolerance of Big Data Applications; 6.3 Replication in Big Data; 6.4 Big Data Security; 6.5 Data Heterogeneity; 7 Summary and Discussion; References; Statistical Challenges with Big Data in Management Science
متن يادداشت
1 Introduction2 Big Data; 3 Statistical Challenges; 3.1 Volume; 3.2 Velocity; 3.3 Variety; 3.4 Veracity; 3.5 Privacy and Confidentiality; 4 Statistical Methods for Big Data; 4.1 Symbolic Data Analysis; 4.2 Approximate Stream Regression; 5 Case Studies; 5.1 Online Recommendations for Cross Selling; 5.2 Talent Acquisition; 6 Concluding Remarks; References; Application of Mixture Models to Large Datasets; 1 Introduction; 2 Finite Mixture Models; 3 Factor Models; 4 Dimension Reduction; 4.1 EMMIX-GENE; 4.2 Projection Methods; 4.3 Matrix Factorization; 5 Flow Cytometry Data
متن يادداشت
5.1 Non-elliptical Clusters5.2 FLAME Procedure; 5.3 JCM Procedure; 5.4 Clustering and Matching of Flow Cytometric Samples; 5.5 Classification of Flow Cytometric Samples; 6 Summary and Conclusions; References; An Efficient Partition-Repetition Approach in Clustering of Big Data; 1 Introduction; 2 Formulation of Big Data Clustering; 3 Principles of Big Data Clustering; 4 Literature Review; 5 Clustering Meta Algorithm/Partition-Repetition Approach; 5.1 Adaptive K-Means Clustering for Big Data; 5.2 Adaptation of Tight Clustering to Microarray Data; 6 Simulation Studies; 7 Concluding Remarks
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
References6 Online Graph Partitioning with an Affine Message Combining Cost Function; Abstract; 1 Introduction; 2 Related Work; 3 Background; 3.1 Cost Function with Message Combining; 4 Methodology; 4.1 Cost Function with Affine Message Combining; 5 Online Heuristics for Cost Function with Message Combining; 5.1 Deterministic Combining Greedy Algorithm: A Message Heuristic for Online Graph Partitioning; 5.2 Affine Combining Deterministic Greedy Algorithm: A Online Heuristic with Affine Message Combining; 6 Experiment; 6.1 Experimental Setup; 6.2 Partition Results Using CDG Heuristic
عنوانهای گونه گون دیگر
عنوان گونه گون
methods and applications
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Big data
عنصر شناسه ای
Electronic books
رده بندی ديویی
شماره
005
.
7
رده بندی کنگره
شماره رده
EBOOK
,
QA
شماره رکورد رده بندي
76
.
9
نشانه اثر
.
B45
نام / عنوان به منزله شناسه افزوده
عنصر شناسه اي
Pyne, Saumyadipta
عنصر شناسه اي
Prakasa Rao, B. L. S
عنصر شناسه اي
Rao, S. B.)Siddani Bhaskara(,1945-
عنصر شناسه اي
Ohio Library and Information Network
اطلاعات رکورد کتابشناسی
نوع ماده
English Book
