Data mining and machine learning applications / editors, Rohit Raja [et al.]

Format:

Book

Contributor:

Raja, Rohit, editor.

Language:

English

Subjects (All):

Data mining.

Machine learning.

Physical Description:

1 online resource (488 pages)

Place of Publication:

Beverly, MA : Scrivener Publishing LLC, [2022]

Summary:

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today's world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning.

Contents:

Front Matter

Introduction to Data Mining / Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar

Classification and Mining Behavior of Data / Srinivas Konda, Kavitarani Balmuri, Kishore Kumar Mamidala

A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects / Rakhi Seth, Aakanksha Sharaff

Stream Mining: Introduction, Tools & Techniques and Applications / Naresh Kumar Nagwani

Data Mining Tools and Techniques: Clustering Analysis / Rohit Miri, Amit Kumar Dewangan, SR Tandan, Priya Bhatnagar, Hiral Raja

Data Mining Implementation Process / Kamal K Mehta, Rajesh Tiwari, Nishant Behar

Predictive Analytics in IT Service Management (ITSM) / Christa IL Sharon, V Suma

Modified Cross-Sell Model for Telecom Service Providers Using Data Mining Techniques / K Ramya Laxmi, Sumit Srivastava, K Madhuravani, S Pallavi, Omprakash Dewangan

Inductive Learning Including Decision Tree and Rule Induction Learning / Raj Kumar Patra, A Mahendar, G Madhukar

Data Mining for Cyber-Physical Systems / M Varaprasad Rao, D Anji Reddy, Anusha Ampavathi, Shaik Munawar

Developing Decision Making and Risk Mitigation: Using CRISP-Data Mining / Vivek Parganiha, Soorya Prakash Shukla, Lokesh Kumar Sharma

Human-Machine Interaction and Visual Data Mining / Sinha Upasana, Gupta Akanksha, Samera Khan, Shilpa Rani, Swati Jain

MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection / Lokesh Singh, Rekh Ram Janghe, Satya Prakash Sahu

New Algorithms and Technologies for Data Mining / Padma Bonde, Latika Pinjarkar, Korhan Cengiz, Aditi Shukla, Maguluri Sudeep Joel

Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier / Sudesh Kumar, Rekh Ram Janghel, Satya Prakash Sahu

An Enhanced Security of Women and Children Using Machine Learning and Data Mining Techniques / Nanda R Wagh, Sanjay R Sutar

Conclusion and Future Direction in Data Mining and Machine Learning / Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, Ramakant Chandrakar

Index

Notes:

Description based on print version record.

Other Format:

Print version: Raja, Rohit Data Mining and Machine Learning Applications

ISBN:

9781523155781

1523155787

9781119792505

1119792509

9781119792529

1119792525

9781119792512

1119792517

OCLC:

1294221123