000 05444cam a2200589 i 4500
001 on1381293606
003 OCoLC
005 20240523125544.0
006 m o d
007 cr cnu---unuuu
008 230608t20232023nju ob 001 0 eng d
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dOCLCF
_dORMDA
_dOCLCO
_dDG1
_dEBLCP
_dBNG
019 _a1381713789
020 _a9781119879862
_qelectronic book
020 _a1119879868
_qelectronic book
020 _a9781119879855
_qelectronic book
020 _a111987985X
_qelectronic book
020 _z9781119879688
_qhardcover
020 _z111987968X
_qhardcover
029 1 _aAU@
_b000075033710
035 _a(OCoLC)1381293606
_z(OCoLC)1381713789
037 _a9781119879688
_bO'Reilly Media
050 4 _aQA76.9.D345
_bD38 2023
082 0 4 _a006.3/12
_223/eng/20230626
049 _aMAIN
245 0 0 _aData wrangling :
_bconcepts, applications and tools /
_cedited by M. Niranjanamurthy, Kavita Sheoran, Geetika Dhand, and Prabhjot Kaur.
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc. ;
_aBeverly, MA :
_bScrivener Publishing LLC,
_c2023.
264 4 _c�2023
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 _aDescription based on online resource; title from digital title page (viewed on June 26, 2023).
520 _aWritten and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems. Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today's top firms. Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data's format, typically by converting "raw" data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta. This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.
504 _aIncludes bibliographical references and index.
505 0 _aBasic Principles of Data Wrangling / Akshay Singh, Surender Singh, Jyotsna Rathee -- Skills and Responsibilities of Data Wrangler / Prabhjot Kaur, Anupama Kaushik, Aditya Kapoor -- Data Wrangling Dynamics / Simarjit Kaur, Anju Bala, Anupam Garg -- Essentials of Data Wrangling / Menal Dahiya, Nikita Malik, Sakshi Rana -- Data Leakage and Data Wrangling in Machine Learning for Medical Treatment / P.T. Jamuna Devi, B.R. Kavitha -- Importance of Data Wrangling in Industry 4.0 / Rachna Jain, Geetika Dhand, Kavita Sheoran, Nisha Aggarwal -- Managing Data Structure in R / Mittal Desai, Chetan Dudhagara -- Dimension Reduction Techniques in Distributional Semantics: An Application Specific Review / Pooja Kherwa, Jyoti Khurana, Rahul Budhraj, Sakshi Gill, Shreyansh Sharma, Sonia Rathee -- Big Data Analytics in Real Time for Enterprise Applications to Produce Useful Intelligence / Prashant Vats, Siddhartha Sankar Biswas -- Generative Adversarial Networks: A Comprehensive Review / Jyoti Arora, Meena Tushir, Pooja Kherwa, Sonia Rathee -- Analysis of Machine Learning Frameworks Used in Image Processing: A Review / Gurpreet Kaur, Kamaljit Singh Saini -- Use and Application of Artificial Intelligence in Accounting and Finance: Benefits and Challenges / Ram Singh, Rohit Bansal, M. Niranjanamurthy -- Obstacle Avoidance Simulation and Real-Time Lane Detection for AI-Based Self-Driving Car / B. Eshwar, Harshaditya Sheoran, Shivansh Pathak, Meena Rao -- Impact of Suppliers Network on SCM of Indian Auto Industry: A Case of Maruti Suzuki India Limited / Ruchika Pharswan, Ashish Negi, Tridib Basak.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aData mining.
650 0 _aData editing.
650 0 _aData sets.
650 6 _aExploration de donn�ees (Informatique)
650 7 _aData mining
_2fast
700 1 _aNiranjanamurthy, M.,
_eeditor.
700 1 _aSheoran, Kavita,
_eeditor.
700 1 _aDhand, Geetika,
_eeditor.
700 1 _aKaur, Prabhjot,
_eeditor.
776 0 8 _iPrint version:
_tData wrangling.
_dHoboken, NJ : John Wiley & Sons, Inc. ; Beverly, MA : Scrivener Publishing LLC, 2023
_z111987968X
_z9781119879688
_w(OCoLC)1389778632
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119879862
938 _aYBP Library Services
_bYANK
_n305503807
938 _aProQuest Ebook Central
_bEBLB
_nEBL7255375
994 _a92
_bINLUM
999 _c12957
_d12957