OPAC

検索結果一覧に戻る

Data mining and machine learning applications / edited by Rohit Raja [and more]

データ種別	電子ブック
出版者	Hoboken, NJ ; Beverly, MA : Wiley : Scrivener Publishing
出版年	2022
大きさ	1 online resource
著者標目	Raja, Rohit editor

所蔵情報を非表示

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0005250	Wiley Online Library: Complete oBooks				9781119792529

書誌詳細を非表示

内容注記	Introduction to Data Mining / Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, and Sandeep Kumar Classification and Mining Behavior of Data / Srinivas Konda, Kavitarani Balmuri, and Kishore Kumar Mamidala A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects / Rakhi Seth and 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, and Priya Bhatnagar, Hiral Raja Data Mining Implementation Process / Kamal K Mehta, Rajesh Tiwari, and Nishant Behar Predictive Analytics in IT Service Management (ITSM) / Christa IL Sharon and V Suma Modified Cross-Sell Model for Telecom Service Providers Using Data Mining Techniques / K Ramya Laxmi, Sumit Srivastava, K Madhuravani, S Pallavi, and Omprakash Dewangan Inductive Learning Including Decision Tree and Rule Induction Learning / Raj Kumar Patra, A Mahendar, and G Madhukar Data Mining for Cyber-Physical Systems / M Varaprasad Rao, D Anji Reddy, Anusha Ampavathi, and Shaik Munawar Developing Decision Making and Risk Mitigation: Using CRISP-Data Mining / Vivek Parganiha, Soorya Prakash Shukla, and Lokesh Kumar Sharma Human-Machine Interaction and Visual Data Mining / Sinha Upasana, Gupta Akanksha, Samera Khan, Shilpa Rani, and Swati Jain MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection / Lokesh Singh, Rekh Ram Janghe, and Satya Prakash Sahu New Algorithms and Technologies for Data Mining / Padma Bonde, Latika Pinjarkar, Korhan Cengiz, Aditi Shukla, and Maguluri Sudeep Joel Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier / Sudesh Kumar, Rekh Ram Janghel, and Satya Prakash Sahu An Enhanced Security of Women and Children Using Machine Learning and Data Mining Techniques / Nanda R Wagh and Sanjay R Sutar Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, and Ramakant Chandrakar / Conclusion and Future Direction in Data Mining and Machine Learning
一般注記	Includes bibliographical references and index Online resource; title from PDF title page (John Wiley, viewed February 17, 2022) 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. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly John Wiley and Sons Wiley Online Library: Complete oBooks HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792529
件　名	LCSH:Data mining LCSH:Machine learning MESH:Data Mining MESH:Machine Learning CSHF:Exploration de donn�ees (Informatique) CSHF:Apprentissage automatique FREE:Data mining FREE:Machine learning
分　類	LCC:QA76.9.D343 DC23:006.3/12
書誌ID	EB00004539
ISBN	9781119792529