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Subject Item
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Verhaltensanalyse 行動分析 Behavioral analytics
rdfs:comment
Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT. The rapid increase in the volume of raw event data generated by the digital world enables methods that go beyond typical analysis by demographics and other traditional metrics that tell us what kind of people took what actions in the past. Behavioral analysis focuses on understanding how consumers act and why, enabling accurate predictions about how they are likely to act in the future. It enables marketers to make the right offers to the right consumer segments at the right time. Die Verhaltensanalyse ist eine empirisch arbeitende Wissenschaft, die sich mit dem Verhalten von Menschen und Tieren befasst. Dabei wird unter Verhalten sowohl das offene (von außen, d. h. von anderen) beobachtbare als auch das verdeckte (private) Verhalten (das nur die Person, die sich verhält, an sich beobachten kann) verstanden. Die Verhaltensanalyse versteht daher auch sprachliches Verhalten (vgl. Verbal Behavior) und innere Vorgänge wie das Denken und Fühlen als Verhalten. Die Verhaltensanalyse versucht, dieses Verhalten zu beschreiben, zu erklären, zu verstehen und vorauszusagen. Die wissenschaftstheoretische Grundlage der Verhaltensanalyse ist der Radikale Behaviorismus nach B. F. Skinner. 行動分析学(こうどうぶんせきがく；Behavior Analysis）とは、バラス・スキナー（Burrhus Frederick Skinner)が新行動主義心理学をさらに改革し、新たに起こした徹底的行動主義（radical behaviorism）に基づく心理学の一体系である。歴史的には、フロイトやユングらの精神分析学に対抗する形で発展してきた。 行動分析学とは字義通り人間または動物などの行動を分析する学問である。行動は、生物ができるすべての行動を対象とする。具体的には、独立変数（環境）を操作することで従属変数（行動）がどの程度変化したかを記述することによって、行動の「原理」や「法則」を導き出す。これを（じっけんてきこうどうぶんせき；en:Experimental analysis of behavior）という。これにより、行動の「予測」と「制御」が可能になる。その成果は、人間や動物のさまざまな問題行動の解決に応用されている。これを応用行動分析（おうようこうどうぶんせき；Applied Behavior Analysis）と呼ぶ。 行動分析学の基本的な「原理」は、レスポンデント条件づけ(別名古典的条件づけまたはパブロフ型条件づけ)とオペラント条件づけ（別名道具的条件づけ）の二つにある。
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Die Verhaltensanalyse ist eine empirisch arbeitende Wissenschaft, die sich mit dem Verhalten von Menschen und Tieren befasst. Dabei wird unter Verhalten sowohl das offene (von außen, d. h. von anderen) beobachtbare als auch das verdeckte (private) Verhalten (das nur die Person, die sich verhält, an sich beobachten kann) verstanden. Die Verhaltensanalyse versteht daher auch sprachliches Verhalten (vgl. Verbal Behavior) und innere Vorgänge wie das Denken und Fühlen als Verhalten. Die Verhaltensanalyse versucht, dieses Verhalten zu beschreiben, zu erklären, zu verstehen und vorauszusagen. Die wissenschaftstheoretische Grundlage der Verhaltensanalyse ist der Radikale Behaviorismus nach B. F. Skinner. Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT. The rapid increase in the volume of raw event data generated by the digital world enables methods that go beyond typical analysis by demographics and other traditional metrics that tell us what kind of people took what actions in the past. Behavioral analysis focuses on understanding how consumers act and why, enabling accurate predictions about how they are likely to act in the future. It enables marketers to make the right offers to the right consumer segments at the right time. Behavioral analytics can be useful for authentication as for security purposes. It uses non-identifiable but individually unique factors to confirm who the user is. The identity of the user is authenticated in the background using factor such as mouse movement to typing speed and habits, login history network detail like IP address, browser used, etc. Behavioral analytics utilizes the massive volumes of raw user event data captured during sessions in which consumers use application, game, or website, including traffic data like navigation path, clicks, social media interactions, purchasing decisions and marketing responsiveness. Also, the event-data can include advertising metrics like click-to-conversion time, as well as comparisons between other metrics like the monetary value of an order and the amount of time spent on the site. These data points are then compiled and analyzed, whether by looking at session progression from when a user first entered the platform until a sale was made, or what other products a user bought or looked at before this purchase. Behavioral analysis allows future actions and trends to be predicted based on the collection of such data. Since the analysis requires collection and aggregation of large amounts of personal data, including highly sensitive one (such as sexual orientation or sexual preferences, health issues, location) which is then traded between hundreds of parties involved in targeted advertising, behavioral analytics is causing significant concerns about privacy violations. While business analytics has a more broad focus on the who, what, where and when of business intelligence, behavioral analytics narrows that scope, allowing one to take seemingly unrelated data points in order to extrapolate, predict and determine errors and future trends. It takes a more holistic and human view of data, connecting individual data points to tell us not only what is happening, but also how and why it is happening. 行動分析学(こうどうぶんせきがく；Behavior Analysis）とは、バラス・スキナー（Burrhus Frederick Skinner)が新行動主義心理学をさらに改革し、新たに起こした徹底的行動主義（radical behaviorism）に基づく心理学の一体系である。歴史的には、フロイトやユングらの精神分析学に対抗する形で発展してきた。 行動分析学とは字義通り人間または動物などの行動を分析する学問である。行動は、生物ができるすべての行動を対象とする。具体的には、独立変数（環境）を操作することで従属変数（行動）がどの程度変化したかを記述することによって、行動の「原理」や「法則」を導き出す。これを（じっけんてきこうどうぶんせき；en:Experimental analysis of behavior）という。これにより、行動の「予測」と「制御」が可能になる。その成果は、人間や動物のさまざまな問題行動の解決に応用されている。これを応用行動分析（おうようこうどうぶんせき；Applied Behavior Analysis）と呼ぶ。 行動分析学の基本的な「原理」は、レスポンデント条件づけ(別名古典的条件づけまたはパブロフ型条件づけ)とオペラント条件づけ（別名道具的条件づけ）の二つにある。
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