Managing and Mining Sensor Data

Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. 
Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Computers & Technology

AGGARWAL

Computer Science

Springer

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.

Outlier Ensembles

Bhag-1 Ankganitiya Yogyata Bhag-2 Samankon Ka Vishleshan Bhag-3 Samanya Sachetta

PRATIYOGI PARIKSHAON KE LIYE ANKGANIT

About the Book: Mathematics For N.D.A and N.A EntranceExam This book provides a comprehensive studyof all topics included in N.D.A. syllabus. It contains a largenumber of challenging problems with solutions; a lot of solvedexamples to clarify the facts; and latest questions included onmemory basis. The subject matter of this book is according to theneeds of the students and it is hoped that it will creat aconfidence among students to successfully clear N.D.A.examination

Mathematics for NDA and NA

S CHAND & CO, LTD

An ideal book for Entrance Examinations for :Bank P.O, SBI Po., RBI Po.NABARDM.B.A., M.A.T. C.A.T., Hotel ManagementS.S.C., C.B.I.C.P.O. I.Tax & Central ExciseI.A.S, P.C.S.Railway Recruitment BoardL.I.C, G.I.C. A.A.O., U.D.CN.D.A., C.D.S. Table Of Contents: 1 Tabulation 2 Bar-Graphs3 Line Graphs4 Pie Charts

An Advanced Approach to Data Interpretation Aggarwal, R. S.

S.Chand Publishing

S.Chand'S Simplified Course Ancient Indian History

History

Asia

Quantitative Aptitude For Competitive Examinations comprehensively covers topics for the Quantitative Aptitude and Data Interpretation section of competitive exams like management entrance exams, job recruitment exams etc.Competitive exams, whether they are conducted to select candidates for jobs, or for admission to post graduate and doctorate courses, test the numerical aptitude of the person taking the exam. These exams test a candidate's knowledge and skill in basic arithmetic, algebra, geometry etc. They also test the Quantitative Aptitude skills of the candidate. This book is divided into two sections. The first part covers arithmetical ability. The second part covers Data Interpretation. The first part begins by taking a look at Numbers, Average, Percentage, Decimal Fractions, H.C.F. and L.C.M., Square Roots and Cube Roots. Quantitative Aptitude For Competitive Examinations also covers Problems on Numbers and Ages, Simplification, Alligations, and Logarithms. Other topics discussed include Surds and Indices, Pipes and Cistern, Chain Rule, Boats and Streams, Simple and Compound Interests, Time and Work, Partnership, Problems on Trains, and Volume and Surface Area. This text also goes into Stocks and Shares, True Discount and Banker's Discount, Games of Skill, Races, Permutations and Combination, Series, Odd Man Out, Clocks, Heights and Distances, and Calendar. The Data Interpretation part covers Tabulation and various kinds of graphs like Bar, Pie and Line Graphs. Quantitative Aptitude For Competitive Examinations covers every aspect of the numerical ability section of many competitive tests. Numerous examples have been used throughout the book to illustrate the concepts and problem solving techniques. This book gives the students or candidates a good idea about the kind of questions asked in these exams.

Quantitative Aptitude

Business & Money

Corporate Governance

APH Publishing Corporation

Essentials Of Educational Technology 3/e [Paperback] [Jan 01, 2014] AGGARWAL

Vikas Publishing House Pvt. Ltd.

Brand New International Paper-back Edition same as per description, **Economy edition, May have been printed in Asia with cover stating Not for sale in US. Legal to use despite any disclaimer on cover. Save Money. Contact us for any queries. Best Customer Support! All Orders shipped with Tracking Number.

MCQS in Critical Care Medicine

Literature & Fiction

Wolter Kluwer

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