000			02798nam a2200469 i 4500
001			9781450384858
003			ACM
005			20260528133338.0
008			210511s2021 nyu 001 0 eng d
020			_a3462257
020			_a9781450384858 _qebook
020			_a9781450384841 _qepub
020			_z9781450384827 _qhardcover
020			_z9781450384834 _qpaperback
024	7		_a10.1145/3462257 _2doi
100	0		_aJalali, Laleh _eauthor.
245	1	0	_aEvent Mining for Explanatory Modeling / _cLaleh Jalali, Ramesh Jain.
250			_aFirst Edition
264		1	_a[New York, NY, USA] : _bAssociation for Computing Machinery; _c[2021].
300			_a1 PDF (xvi, 146 pages) _bLuaTEX
490	1		_aACM books, _x2374-6777 ; _v#35
505	8		_aPreface
505	8		_a1 Introduction -- 1.1 Correlation is the Mother of Causality -- 1.2 Explanatory Modeling versus Predictive Modeling -- 1.3 Logs are the Source of Knowledge -- 1.4 From Logs to Chronicles to Models -- 1.5 The Importance of an Event Language for Explanatory Modeling
505	8		_a2 Think Events: From Signals to Events -- 2.1 Events in the Human World -- 2.2 Events in the Cyber World -- 2.3 Why an Event Model? -- 2.4 An Overview of Event Models
505	8		_a3 Event Mining and Pattern Discovery -- 3.1 An Example of Asthma Risk Factor Patterns -- 3.2 Temporal Knowledge Representation -- 3.3 Temporal Data Prediction -- 3.4 Pattern Discovery -- 3.5 Different Types of Patterns -- 3.6 Revisiting Asthma Risk Factor Patterns
505	8		_a4 Design Principles of Event Mining Systems -- 4.1 Data Fusion and Transformation -- 4.2 Extensibility and Reusability -- 4.3 Interactive Process -- 4.4 Human-centered Analysis -- 4.5 Event Mining Architecture
505	8		_a5 Event Mining Applications -- 5.1 Healthcare and Medicine -- 5.2 Biological Data Analysis -- 5.3 Predictive Maintenance -- 5.4 Business Intelligence -- 5.5 Computer Networks
505	8		_a6 EventMiner Framework -- 6.1 Data Models and Pattern Operators -- 6.2 Architecture -- 6.3 Core Processing and Language Syntax -- 6.4 Interactive Event Mining Process -- 6.5 Case Studies with EventMiner
505	8		_a7 Conclusion and Future Direction
505	8		_aBibliography
505	8		_aAuthors' Biography
505	8		_aIndex
506			_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
538			_aSystem requirements: Adobe Acrobat Reader
650		0	_aEvent Mining (Computer Science)
655		0	_aElectronic books.
776	0	8	_iPrint version: _z9781450384827 _z9781450384834
830		0	_aACM books - Collection 2 ; _v#35.
856	4	0	_3Abstract with links to full text _uhttps://doi.org/10.1145/3462257
999			_c385 _d385