公开(公告)号：US08909562B2

公开(公告)日：2014-12-09

申请号：US13157006

申请日：2011-06-09

申请人： Karan Bhatnagar ,  Rohan Khot

发明人： Karan Bhatnagar ,  Rohan Khot

IPC分类号： G06F15/18 ,  G06N7/00

CPC分类号： G06N7/005

摘要： A system for analyzing service usage utilizing Markov models. Records of client requests to the service are extracted from at least one log. The records are grouped by client and sorted by timestamp. A pattern of requests that form an action is detected. Each action has a time. A probability is calculated of a transition from a precedent action to a subsequent action, where the precedent action has a time prior to the subsequent action. A delay time is also calculated between a precedent action and a subsequent action. A probability is calculated for a delay time, such as the likelihood that a delay from a precedent action to a subsequent action will fall within a given time interval.

摘要翻译： 一种使用马尔可夫模型分析服务使用的系统。 从至少一个日志中提取对服务的客户端请求的记录。 记录按客户端分组，并按时间戳排序。 检测到形成动作的请求的模式。 每个动作都有一段时间。 计算从先例动作到后续动作的转换的概率，其中先例动作在后续动作之前有一段时间。 延迟时间也在先例动作和后续动作之间计算。 计算延迟时间的概率，例如从先前动作到后续动作的延迟将落在给定时间间隔内的可能性。

公开(公告)号：US08620839B2

公开(公告)日：2013-12-31

申请号：US13413884

申请日：2012-03-07

申请人： Karan Bhatnagar ,  Rohan Khot

发明人： Karan Bhatnagar ,  Rohan Khot

IPC分类号： G06F15/18

CPC分类号： G06N7/005

摘要： A system for analyzing service usage utilizing Markov models. Records of client requests to the service are extracted from at least one log. The records are grouped by client and sorted by timestamp. A pattern of requests that form an action is detected. Each action has a time. A probability is calculated of a transition from a precedent action to a subsequent action, where the precedent action has a time prior to the subsequent action. A delay time is also calculated between a precedent action and a subsequent action. A probability is calculated for a delay time, such as the likelihood that a delay from a precedent action to a subsequent action will fall within a given time interval.

摘要翻译： 一种使用马尔可夫模型分析服务使用的系统。 从至少一个日志中提取对服务的客户端请求的记录。 记录按客户端分组，并按时间戳排序。 检测到形成动作的请求的模式。 每个动作都有一段时间。 计算从先例动作到后续动作的转换的概率，其中先例动作在后续动作之前有一段时间。 延迟时间也在先例动作和后续动作之间计算。 计算延迟时间的概率，例如从先前动作到后续动作的延迟将落在给定时间间隔内的可能性。

公开(公告)号：US20120254080A1

公开(公告)日：2012-10-04

申请号：US13413884

申请日：2012-03-07

申请人： Karan Bhatnagar ,  Rohan Khot

发明人： Karan Bhatnagar ,  Rohan Khot

IPC分类号： G06N5/02 ,  G06F15/18

CPC分类号： G06N7/005

摘要： A system for analyzing service usage utilizing Markov models. Records of client requests to the service are extracted from at least one log. The records are grouped by client and sorted by timestamp. A pattern of requests that form an action is detected. Each action has a time. A probability is calculated of a transition from a precedent action to a subsequent action, where the precedent action has a time prior to the subsequent action. A delay time is also calculated between a precedent action and a subsequent action. A probability is calculated for a delay time, such as the likelihood that a delay from a precedent action to a subsequent action will fall within a given time interval.

摘要翻译： 一种使用马尔可夫模型分析服务使用的系统。 从至少一个日志中提取对服务的客户端请求的记录。 记录按客户端分组，并按时间戳排序。 检测到形成动作的请求的模式。 每个动作都有一段时间。 计算从先例动作到后续动作的转换的概率，其中先例动作在后续动作之前有一段时间。 延迟时间也在先例动作和后续动作之间计算。 计算延迟时间的概率，例如从先前动作到后续动作的延迟将落在给定时间间隔内的可能性。