Big Data analytics: introduction to hadoop, spark and machine learning (Record no. 62793)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01903nam a2200193 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789353164966 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Item number | RAJ/B |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Raj Kamal |
| 245 ## - TITLE STATEMENT | |
| Title | Big Data analytics: introduction to hadoop, spark and machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Chennai |
| Name of publisher | Mc Graw Hill |
| Year of publication | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 508 p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve the interests of undergraduate and post graduate students of computer science and engineering, information technology, and related disciplines. It will also be useful to software developers.<br/>Highlights:<br/>· Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big Data Hadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphX<br/>· Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree, classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics.<br/>· Follows a hierarchical and teach-by- example approach from elementary to advanced level.<br/>· Rich pedagogy<br/>· Web supplement includes instructional PPTs, solution of exercises, analysis using open source datasets of a car company, and topics for advanced learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Electronic data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Strategic planning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Business intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | data mining |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | Home library | Shelving location | Date acquired | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Kannur University Central Library | Stack | 24/09/2021 | 005.74 RAJ/B | 54413 | BK |